#AI and Energy Management

[thedigitalhorizon]

How Artificial Intelligence is Changing Everyday Life

You might've heard that Artificial Intelligence (AI) is predicted to add a staggering $15.7 trillion to the global economy by 2030. But do you know how it's revolutionizing your everyday life right now? From healthcare to your daily commute, AI is making significant strides. Let's dive in and explore the incredible ways this technology is affecting us all.

AI and Your Health

Telehealth has become more than a buzzword; it's a lifeline for many, especially during times of crisis. AI-driven platforms are making it possible to have a doctor's appointment from the comfort of your home. Not just that, predictive algorithms analyze a wide range of patient data to forecast potential diseases. Imagine knowing the likelihood of a health condition long before it strikes! But it doesn't stop at patient care. The administrative side of healthcare—think paperwork, appointment scheduling, and billing—is also getting an AI makeover, allowing medical professionals to focus more on what they do best: taking care of you.

Getting Around With AI

If you've ever been stuck in traffic, fantasizing about a world where cars drive themselves, you're in for a treat. Self-driving cars are no longer just the stuff of science fiction. These AI-controlled vehicles promise not only to make driving easier but also safer by reducing human error. Beyond personal cars, AI is optimizing public transportation. Algorithms sift through data to provide the most efficient routes and schedules. Even our traffic lights are getting smarter; they adapt to real-time road conditions, reducing your wait time at red lights.

AI at Home

Your home, too, is getting the AI treatment. Voice-activated devices like Alexa and Google Home are not mere novelties; they're practical tools that can control lighting, temperature, and even your refrigerator. Speaking of energy, AI goes beyond convenience. It's helping us manage our energy consumption by optimizing heating and cooling systems. It's like having a personal environmentalist in your pocket, helping you reduce your carbon footprint one decision at a time.

Managing Money Through AI

Managing finances is not everyone's cup of tea, and that's where AI comes in. Robo-advisors use machine learning to assess market conditions and make investment decisions. You also have an extra layer of security with real-time fraud detection. And if you find budgeting a chore, AI-powered apps are here to help, offering personalized advice tailored to your spending habits.

Navigating Ethical Waters

While AI offers extraordinary benefits, it's essential to consider the ethical implications. Data privacy, for instance, is a significant concern. As we rely more on these intelligent systems, there's the question of how much we're willing to give away in terms of personal information. Beyond that, there's the debate over job displacement and dependency on machines. It's crucial to strike a balance and prioritize ethical development in the AI sphere.

The Future is Bright

Looking ahead, the possibilities seem almost endless. Whether it's art generated by algorithms or AI-driven educational tools that adapt to each student's needs, the future of AI is a canvas of untapped potential. The key is to view AI not as a looming threat but as a tool for furthering human advancement.

To Sum it All Up

AI is more than a technological trend; it's a transformative force impacting our healthcare, transportation, homes, and even our wallets. By proceeding with ethical considerations at the forefront, we can ensure that AI serves as a tool to augment our human capabilities rather than replace them. So, as we stand on the cusp of this digital revolution, let's embrace the endless possibilities AI offers for a brighter, more convenient future.

Thank you for reading! Stay tuned to The Digital Horizon for more insights, tips, and recommendations on navigating the digital world.

[glassonlyrecycle]

sonicsonaaaaa ಇ( ˵ᐛ ˵)ಇ

[chemicalmarketwatch-sp]

Exploring the Growing $21.3 Billion Data Center Liquid Cooling Market: Trends and Opportunities

In an era marked by rapid digital expansion, data centers have become essential infrastructures supporting the growing demands for data processing and storage. However, these facilities face a significant challenge: maintaining optimal operating temperatures for their equipment. Traditional air-cooling methods are becoming increasingly inadequate as server densities rise and heat generation intensifies. Liquid cooling is emerging as a transformative solution that addresses these challenges and is set to redefine the cooling landscape for data centers.

What is Liquid Cooling?

Liquid cooling systems utilize liquids to transfer heat away from critical components within data centers. Unlike conventional air cooling, which relies on air to dissipate heat, liquid cooling is much more efficient. By circulating a cooling fluid—commonly water or specialized refrigerants—through heat exchangers and directly to the heat sources, data centers can maintain lower temperatures, improving overall performance.

Market Growth and Trends

The data centre liquid cooling market  is on an impressive growth trajectory. According to industry analysis, this market is projected to grow USD 21.3 billion by 2030, achieving a remarkable compound annual growth rate (CAGR) of 27.6%. This upward trend is fueled by several key factors, including the increasing demand for high-performance computing (HPC), advancements in artificial intelligence (AI), and a growing emphasis on energy-efficient operations.

Key Factors Driving Adoption

1. Rising Heat Density

The trend toward higher power density in server configurations poses a significant challenge for cooling systems. With modern servers generating more heat than ever, traditional air cooling methods are struggling to keep pace. Liquid cooling effectively addresses this issue, enabling higher density server deployments without sacrificing efficiency.

2. Energy Efficiency Improvements

A standout advantage of liquid cooling systems is their energy efficiency. Studies indicate that these systems can reduce energy consumption by up to 50% compared to air cooling. This not only lowers operational costs for data center operators but also supports sustainability initiatives aimed at reducing energy consumption and carbon emissions.

3. Space Efficiency

Data center operators often grapple with limited space, making it crucial to optimize cooling solutions. Liquid cooling systems typically require less physical space than air-cooled alternatives. This efficiency allows operators to enhance server capacity and performance without the need for additional physical expansion.

4. Technological Innovations

The development of advanced cooling technologies, such as direct-to-chip cooling and immersion cooling, is further propelling the effectiveness of liquid cooling solutions. Direct-to-chip cooling channels coolant directly to the components generating heat, while immersion cooling involves submerging entire server racks in non-conductive liquids, both of which push thermal management to new heights.

Overcoming Challenges

While the benefits of liquid cooling are compelling, the transition to this technology presents certain challenges. Initial installation costs can be significant, and some operators may be hesitant due to concerns regarding complexity and ongoing maintenance. However, as liquid cooling technology advances and adoption rates increase, it is expected that costs will decrease, making it a more accessible option for a wider range of data center operators.

The Competitive Landscape

The data center liquid cooling market is home to several key players, including established companies like Schneider Electric, Vertiv, and Asetek, as well as innovative startups committed to developing cutting-edge thermal management solutions. These organizations are actively investing in research and development to refine the performance and reliability of liquid cooling systems, ensuring they meet the evolving needs of data center operators.

Download PDF Brochure : 

The outlook for the data center liquid cooling market is promising. As organizations prioritize energy efficiency and sustainability in their operations, liquid cooling is likely to become a standard practice. The integration of AI and machine learning into cooling systems will further enhance performance, enabling dynamic adjustments based on real-time thermal demands.

The evolution of liquid cooling in data centers represents a crucial shift toward more efficient, sustainable, and high-performing computing environments. As the demand for advanced cooling solutions rises in response to technological advancements, liquid cooling is not merely an option—it is an essential element of the future data center landscape. By embracing this innovative approach, organizations can gain a significant competitive advantage in an increasingly digital world.

[kikisagroplace]

How to Market Mushrooms

Picture yourself as having mastered the cultivation of your desired mushrooms, whether they’re oysters, shiitakes, or morels. You’ve achieved a bumper crop of consistently high-quality mushrooms, surpassing the needs of you, your family, and friends. Now, you’re eager to start selling them. While cultivating mushrooms is one skill, marketing and selling them is another challenge altogether. Not…

[mtariqniaz]

The Transformative Benefits of Artificial Intelligence

Title: The Transformative Benefits of Artificial Intelligence Artificial Intelligence (AI) has emerged as one of the most revolutionary technologies of the 21st century. It involves creating intelligent machines that can mimic human cognitive functions such as learning, reasoning, problem-solving, and decision-making. As AI continues to advance, its impact is felt across various industries and…

[websyn]

How Sustainability Business Practices Powering Green Technology 

When we talk about sustainability, it is no longer just a buzzword—it's a driving force behind innovation and growth. As our businesses strive to reduce their environmental footprint, green technology is emerging as a powerful ally. We can invest in renewable energy sources like solar and wind and transform how we power our data centers, significantly offsetting energy consumption. But sustainability goes beyond clean energy; it's about optimizing operations and creating a brighter, more efficient future for our businesses and the planet. 

From adopting cloud computing to managing e-waste responsibly and training employees on eco-friendly practices, businesses are integrating sustainable strategies that benefit the planet and enhance efficiency and competitiveness. The future of green technology, particularly in optimizing energy consumption, lies in harnessing AI and IoT. These technologies can identify inefficiencies and automate energy management, offering eco-friendly services and solutions that are both innovative and sustainable. 

As companies embrace sustainability, the shift towards green technology reshapes the entire business ecosystem. Optimizing data centers—traditionally one of the largest energy consumers—is now a top priority. By leveraging cloud computing, businesses can drastically reduce their carbon footprint, improving energy efficiency while cutting costs. We can manage e-waste and ensure that equipment is recycled. 

Training employees in sustainable practices and fostering a culture of environmental responsibility throughout the organization is not just a task; it's a mission. This holistic approach to sustainability meets growing consumer demands for eco-consciousness and positions businesses toward a greener and more resilient future. Each of us has a crucial role in this transition, and together, we can make a significant impact. 

Sustainable Business Practices Helping Technology Go Green

1-Energy-Efficient Facilities  

Implementing energy-efficient facilities involves upgrading buildings with advanced insulation, smart lighting management, and smart energy management systems. This approach reduces energy consumption, lowers operational costs, and minimizes the overall carbon footprint, supporting long-term sustainability. 

2-Adopt the Cloud  

Cloud computing allows businesses to reduce energy usage by consolidating IT infrastructure. Cloud providers often use energy-efficient, renewable-powered data centers, enabling companies to streamline operations, enhance scalability, and contribute to global energy conservation. 

3-Embrace Green Computing Practices  

Green computing involves using energy-efficient hardware, optimizing software, and implementing power management strategies. By adopting these practices, businesses can lower energy consumption, reduce electronic waste, and maintain productivity while minimizing environmental impact. 

4-Establish Internal Equipment Recycling  

Internal equipment recycling programs ensure outdated technology is repurposed, donated, or recycled responsibly. Partnering with certified recyclers helps businesses reduce e-waste, safely dispose of hazardous materials, and demonstrate a commitment to sustainability. 

5-AI and IoT To Optimize Energy Consumption  

AI and IoT technologies are the future. They monitor and optimize energy usage in real-time. By identifying inefficiencies and automating energy management, businesses can reduce waste, enhance operational efficiency, and significantly lower their carbon footprint. The potential of these technologies is truly exciting and promising for a greener future. 

Why Web Synergies? 

As business environments move forward, the challenges of a rapidly changing world, embracing sustainable practices is not just an option—it's a necessity. Integrating green technology into every aspect of your operations can reduce environmental impact while enhancing efficiency and innovation. 

At Web Synergies, we understand the power of sustainability in driving long-term success. Our commitment to helping businesses adopt eco-friendly solutions, from optimizing data centers to leveraging AI and IoT, positions us as a trusted partner in your journey toward a greener future. We can create a more sustainable world where technology drives progress and protects the planet for future generations.  

[greenovativeenergy]

What is AI in Manufacturing? Transforming Efficiency & Sustainability

Smarter, Greener Manufacturing is Here, In today’s fast-paced industrial world, AI in manufacturing is no longer a futuristic concept, it's a powerful enabler of energy efficiency, cost savings, and carbon neutrality. As climate concerns rise and net-zero targets tighten, manufacturers are looking beyond conventional systems. AI is stepping in with real-time, smart automation that transforms operations from reactive to predictive, saving energy, water, and emissions like never before.

Manufacturing's Carbon & Resource Dilemma

The manufacturing sector contributes to over 25% of global CO₂ emissions, making it a key focus in the global net-zero mission. Factories often suffer from energy waste, water leakage, and poor visibility into real-time consumption data. Traditional systems fail to detect inefficiencies until it's too late—resulting in higher operational costs and unmeasured environmental damage.

Worse, legacy systems lack the agility to respond to shifting energy patterns, seasonal demand, or evolving compliance standards. This delay in response means missed savings, production inefficiencies, and a heavy environmental footprint.

AI-Powered Energy & Water Intelligence

This is where AI revolutionizes the game. Through real-time pattern recognition, anomaly detection, and predictive analytics, manufacturers can now:

Track & optimize energy consumption

Detect water leaks instantly

Reduce downtime and prevent resource wastage

Forecast energy demand for efficient planning

Maintain compliance with emission standards

Platforms like Greenovative’s Energy Balance and Water Balance are examples of this transformation in action. These tools use AI to monitor plant-wide operations in real time, delivering insights that empower decision-makers to act before issues escalate.

Energy Balance:

This AI-based platform captures real-time energy and water consumption across different plant zones. It identifies peak usage patterns, flags anomalies, and prescribes actionable steps—reducing energy costs by up to 12% while cutting carbon output.

 Water Balance:

Water management becomes proactive with real-time leak detection, usage forecasting, and recovery strategies. Manufacturers can track water from every source, roundwater, rainwater, recycled, and align usage with production schedules, minimizing oversupply and waste.

Cost-Saving + Sustainability at Scale

The impact of implementing AI in manufacturing is twofold:

Business growth and sustainability go hand in hand.

Lower Operating Costs: With predictive maintenance and resource optimization, energy bills and unplanned downtimes shrink.

Environmental Compliance: Real-time dashboards help maintain ESG goals without additional headcount or complexity.

Scalable Efficiency: AI adapts to every process change, season, or shift pattern, making the system future-proof.

Data-Driven Culture: Insights lead to smarter decisions, faster reporting, and stronger ROI.

With Greenovative’s platforms, even traditional plants can become smart factories, contributing meaningfully to climate goals while boosting the bottom line.

From Measuring to Mastering Efficiency

AI in manufacturing is not just a technological trend, it's a strategic leap toward smarter, cleaner, and future-ready operations. As businesses seek to balance production with purpose, the role of platforms like Greenovative's Energy Balance and Water Balance becomes pivotal.

By choosing AI-powered solutions, manufacturers can not only measure their impact, but master their efficiency. Now is the time to transition from complexity to clarity, from waste to wisdom, and from reactive to real-time.

[pttedu]

Smart Building Technologies: AI & IoT Solutions for Modern Construction

Explore how smart building technologies are revolutionizing the construction industry in Philadelphia. With AI in construction management and IoT in building automation, companies are enhancing efficiency, safety, and sustainability in every phase of a project. Discover how AI-driven construction safety solutions are helping to prevent accidents and improve decision-making on-site. From high-rise developments to smart infrastructure, these innovations are shaping the future of urban building. Learn how adopting smart building technologies can future-proof your projects and ensure compliance with modern standards in one of America's most competitive construction markets.

[tudipblog]

Beyond the Buzz: How IoT Redefines Business Operations

Moving from Hype to Reality

IoT has moved from being a futuristic idea to a practical solution that businesses use daily to improve operations and achieve sustainable growth. Though much of the discussion around IoT is about its potential, the real value that it presents is in how companies can use the technology to solve real-world problems.

Today, IoT is no longer a buzzword; it’s a necessity for any business looking to remain competitive and agile in a dynamic global environment. With its power to integrate devices, data, and processes, IoT helps businesses achieve efficiencies, improve customer satisfaction, and create new revenue streams. In this blog post, we explore how IoT is changing business operations across industries and what companies need to do to maximize its potential.

How Tudip Technologies Redefines IoT Solutions

Tudip Technologies empowers businesses with IoT solutions that tackle complex operational challenges and drive measurable outcomes.

Our Specialized Approach:

Edge Computing Integration: Enabling faster data processing closer to devices for real-time responsiveness.

IoT Ecosystem Design: Creating scalable ecosystems that adapt to changing business needs.

Sustainability-Focused Solutions: Tailoring IoT frameworks that align with environmental goals.

Example: Tudip partnered with a logistics provider to implement IoT-powered edge analytics, reducing data processing times by 60% and improving delivery accuracy across global operations.

Key Takeaways: Turning IoT Into Operational Strength

Invest in Scalable Solutions: Ensure your IoT systems can grow alongside your business needs.

Prioritize Security: Robust cybersecurity measures arToday, IoT is no longer a buzzword; it’s a necessity for any business looking to remain competitive and agile in a dynamic global environment. With its power to integrate devices, data, and processes, IoT helps businesses achieve efficiencies, improve customer satisfaction, and create new revenue streams. In this blog post, we explore how IoT is changing business operations across industries and what companies need to do to maximize its potential.

Redefining Operational Efficiency with IoT

1. Predictive Analytics: Smarter Urban Operations with IoT

IoT is revolutionizing energy management by integrating renewable energy sources into business operations. Smart systems analyze usage patterns and adjust power drawn from solar, wind, or traditional grids in real time.

Optimized Renewable Usage: IoT ensures renewable energy is used efficiently by monitoring supply-demand gaps.

Grid Stability:  Balances energy loads to prevent outages during peak hours.

Sustainability Goals: Helps businesses achieve net-zero emissions by prioritizing clean energy consumption.

Example: A technology campus integrated IoT in optimizing its solar energy consumption and reduced dependence on traditional grids by 40%, with a significant reduction in operational costs

2. Energy Management: Advancing Renewable Solutions

Predictive analytics powered by IoT is transforming urban infrastructure. Cities can now monitor critical assets like bridges, roads, and utilities in real time, ensuring timely maintenance and preventing costly failures.

Public Safety: Early detection of infrastructure stress minimizes risks to citizens.

Cost Efficiency: Avoiding large-scale repairs reduces budget overruns for municipalities.

Sustainability: Proactive maintenance extends the lifespan of assets, reducing waste.

3. Automation Excellence: Better Disaster Response Logistics

IoT-driven automation is transforming how disaster response occurs—getting aid to where it is needed, faster and more efficiently.

Real-Time Inventory Management: Monitors relief inventory and ensures its proper distribution to areas of greatest need.

Smart Transportation: Optimizes routes for rescue and supply vehicles during crises.

Collaboration Across Agencies: IoT systems enable seamless communication between response teams.

Example:In a recent hurricane, one global aid organization leveraged IoT-connected drones to survey damage and automate the delivery of supplies, resulting in a 50% faster response time.

Overcoming Common IoT Challenges

1. Integration of IoT with Existing Systems

One of the biggest hurdles businesses face is integrating IoT solutions with legacy systems. Compatibility issues can hinder seamless data exchange and functionality. Solution: Use a flexible IoT platform with built-in interoperability; make sure it provides APIs for smooth integration. Careful planning and phased implementation may also reduce disruptions to a minimum.

2. Data Security and Privacy

IoT ecosystems are all about continuous data gathering and transmission, which increases exposure to cyber threats. The security of sensitive information is the foundation of trust with stakeholders.

Solution: Implement robust encryption protocols, regularly update security measures, and educate employees on cybersecurity best practices.

3. Adapting to Rapid Technological Changes

The rapid rate of innovation in IoT can make it challenging for businesses to adapt to new developments and keep their systems current. Solution: Collaborate with technology providers that offer scalable solutions and ongoing support to adapt to emerging trends without overhauling existing systems.

How IoT Drives Operational Transformation

1. Enhancing Decision-Making with Real-Time Insights

IoT provides companies with real-time data that enables informed decision-making. Whether it is revising supply chain strategies or optimizing production schedules, IoT ensures that companies can act quickly and confidently.

Dynamic Adaptability: Businesses can change their strategies according to up-to-date information and stay responsive to market demand.

Improved Collaboration: IoT systems enable better communication across departments, enabling coordinated efforts.

2. Creating Value Through Customization

IoT’s ability to collect granular data allows businesses to tailor their offerings and services to meet specific customer needs. Personalization not only enhances user experience but also builds stronger customer relationships.

e non-negotiable in today’s interconnected world.

Focus on Outcomes: Use IoT to achieve specific goals, whether it’s reducing costs, enhancing customer satisfaction, or achieving sustainability targets.

Conclusion: Moving Beyond the Buzz

IoT has evolved into an indispensable solution, reshaping how businesses optimize operations and achieve sustainable growth. By addressing real-world challenges and delivering actionable insights, IoT enables companies to stay competitive and adaptive.

To fully realize the benefits of IoT, businesses must focus on integrating flexible solutions, safeguarding data, and aligning technology with strategic objectives. With the right approach, IoT becomes more than a technological innovation—it becomes a cornerstone of operational excellence and sustainable growth.

Click the link below to learn more about the blog Beyond the Buzz: How IoT Redefines Business Operations

https://tudip.com/blog-post/beyond-the-buzz-how-iot-redefines-business-operations/

[compassionmattersmost]

Introducing the ME/CFS Wellness Companion (A Work in Progress)

For those living with Myalgic Encephalomyelitis / Chronic Fatigue Syndrome (ME/CFS), Long COVID, or any energy-limiting illness, daily life can feel like an obstacle course without a map. Simple tasks become monumental. Rest becomes survival. And advice from the outside world often misses the mark entirely. In response to this, I’ve been quietly building something—a digital companion rooted not…

[jcmarchi]

Three MIT students named 2026 Schwarzman Scholars

New Post has been published on https://thedigitalinsider.com/three-mit-students-named-2026-schwarzman-scholars/

Three MIT students named 2026 Schwarzman Scholars

Three MIT students — Yutao Gong, Brandon Man, and Andrii Zahorodnii — have been awarded 2025 Schwarzman Scholarships and will join the program’s 10th cohort to pursue a master’s degree in global affairs at Tsinghua University in Beijing, China.

The MIT students were selected from a pool of over 5,000 applicants. This year’s class of 150 scholars represents 38 countries and 105 universities from around the world.

The Schwarzman Scholars program aims to develop leadership skills and deepen understanding of China’s changing role in the world. The fully funded one-year master’s program at Tsinghua University emphasizes leadership, global affairs, and China. Scholars also gain exposure to China through mentoring, internships, and experiential learning.

MIT’s Schwarzman Scholar applicants receive guidance and mentorship from the distinguished fellowships team in Career Advising and Professional Development and the Presidential Committee on Distinguished Fellowships.

Yutao Gong will graduate this spring from the Leaders for Global Operations program at the MIT Sloan School of Management, earning a dual MBA and a MS degree in civil and environmental engineering with a focus on manufacturing and operations. Gong, who hails from Shanghai, China, has academic, work, and social engagement experiences in China, the United States, Jordan, and Denmark. She was previously a consultant at Boston Consulting Group working on manufacturing, agriculture, sustainability, and renewable energy-related projects, and spent two years in Chicago and one year in Greater China as a global ambassador. Gong graduated magna cum laude from Duke University with double majors in environmental science and statistics, where she organized the Duke China-U.S. Summit.

Brandon Man, from Canada and Hong Kong, is a master’s student in the Department of Mechanical Engineering at MIT, where he studies generative artificial intelligence (genAI) for engineering design. Previously, he graduated from Cornell University magna cum laude with honors in computer science. With a wealth of experience in robotics — from assistive robots to next-generation spacesuits for NASA to Tencent’s robot dog, Max — he is now a co-founder of Sequestor, a genAI-powered data aggregation platform that enables carbon credit investors to perform faster due diligence. His goal is to bridge the best practices of the Eastern and Western tech worlds.

Andrii Zahorodnii, from Ukraine, will graduate this spring with a bachelor of science and a master of engineering degree in computer science and cognitive sciences. An engineer as well as a neuroscientist, he has conducted research at MIT with Professor Guangyu Robert Yang’s MetaConscious Group and the Fiete Lab. Zahorodnii is passionate about using AI to uncover insights into human cognition, leading to more-informed, empathetic, and effective global decision-making and policy. Besides driving the exchange of ideas as a TEDxMIT organizer, he strives to empower and inspire future leaders internationally and in Ukraine through the Ukraine Leadership and Technology Academy he founded.

[aippals]

WAGO Solutions Platform in pune | India

The WAGO Solutions Platform offers an increasing number of apps designed to monitor, visualize, and operate different systems in the building, industrial, and energy industries. Every program is extremely user-friendly and simple to use at every level.

[phdwritingassistance]

Transforming urban living with IoT technologies! 🏙💡 Discover how smart cities are becoming more secure, sustainable, and connected through innovative solutions. From energy-efficient systems to intelligent infrastructure, IoT is reshaping the future of urbanization. 🌍🚀

[kikisagroplace]

How Agri-Tech Startups Can Use Digital Marketing to Gain More Customers

Table of Contents 1. Introduction 2. Why Digital Marketing is Essential for Agri-Tech Startups 3. Step-by-Step Digital Marketing Strategies for Agri-Tech Startups Identify Your Target Audience Build a Strong Online Presence Leverage Social Media Marketing Content Marketing Strategies Search Engine Optimization (SEO) for Agri-Tech Websites Email Marketing for Customer Retention Paid…

[enertechupscompany]

How AI is Shaping the Future of Renewable Energy in 2024 and Beyond?

The energy mix of the world is changing rapidly with increasing preference for green energy production through solar, wind, and hydropower. However, these sources are well-known for their intermittent production of energy that inconveniences power supply demands. Artificial Intelligence (AI) appears to be a valuable approach for reaching these objectives and achieving the potential that exists in renewable energy. Renewable energy enhancement by AI is likely to become a major reality in the year 2024 and beyond.

Optimizing Renewable Energy Generation

Artificial intelligence has a significant contribution to making energy generation a more effective process. In this way, AI is already being used to look at real-time data in weather patterns, intensity of the sun and wind speed and accurately predict energy production. This predictive capacity can help renewable energy systems to get more flexible so that they can make optimum energy production from available resources irrespective of the fluctuating ambient factors. For example, smart wind turbines deployed with the assistance of AI can change their blade angles based on analyzed wind speed.

Smarter Energy Storage Solutions

Energy storage is a critical piece of the renewable energy puzzle because it mediates between energy production and energy utilization. In energy storage, AI is enhancing the battery management system (BMS) as a driver. BMS using AI makes intelligent decisions of charging and discharging of batteries hence increasing battery life. Further, using machine learning algorithms, energy demand is forecasted, and thus storage capabilities are synchronized with the most frequent power demand.

Intelligent Grid Management

However, the use of renewables in implementation increases the challenges involved in balancing demand and supply. ARTIFICIAL INTELLIGENCE IN GRID Modern grid management systems use artificial intelligence methods to predict energy demand and disturbances in grids and control power flows in grids. AI also supports DERs by changing its basic stricture to decentralised systems in which homes and businesses with roof-based solar panels and storage can also contribute towards the stability of the grid.

Predictive Maintenance for Renewable Infrastructure

With related skills in failure prognosis and failure avoidance, AI is currently transforming the maintenance culture within the renewable energy industry. This is because embedded sensors in solar panels, wind turbines, and other structures record their performance, and artificial intelligence programs help determine problems that are likely to emerge. For instance, the technology is able to identify microcracks on panels for solar installations or strange vibrations in wind turbines enabling their operators to take corrective measures before the faults escalate. This also enhances the quality of the whole system and cuts down on time spent on fixing and maintenance.

AI-Driven Energy Trading Platforms

Artificial intelligence is powering the growing elements of energy retail that will allow peer-to-peer (P2P) energy exchange. Solar panel and battery owners are able to use AI digital platforms to sell the excess energy they produce to neighbours or feed it back into the grid. These platforms then use AI to facilitate buyers and sellers in real-time, adjust energy prices as well as determine fair means of distributing energy.

Improving Policy and Decision-Making

Governments and organizations use AI in analyzing renewable energy policies and investments. AI models deal with large datasets to see demand patterns and future energy requirements and measure the implications of a range of policies. Its rationale is based on the provision of an array of relevant data to support wiser decisions towards the promotion of RE.

Overcoming Challenges with AI Nonetheless, AI has issues that its application poses in renewable energy like data privacy constraints, high costs of implementation and the necessity for infrastructural support. However, as has been seen previously, these barriers are likely to reduce with time as AI technologies become cheaper and more widespread. Expenditures on AI research and development are the key reasons that have seen advancements in renewable energy systems that are sustainable, reliable, and able to expand.

[nuadox]

A novel AI model could aid in the production of clean water

- By Nuadox Crew -

Around 2.2 billion people lack access to safe drinking water, and half of the global population faces severe water scarcity at some point each year.

To address these challenges, expensive solutions like sewer irrigation, rainwater reuse, and seawater desalination are used. However, centralized water systems struggle to quickly adapt to changes in demand, prompting interest in decentralized, electrochemical water production technologies.

Dr. Son Moon's team at the Korea Institute of Science and Technology (KIST), in collaboration with Professor Baek Sang-Soo’s team, developed an AI-based model using random forest techniques to accurately predict ion concentrations during electrochemical water treatment.

This model can monitor individual ions like Na+, K+, Ca2+, and Cl- and requires minimal computing resources compared to deep learning models.

The research offers potential improvements in national water quality management systems, helping to better monitor and manage water resources.

Image: Summary of ion concentration prediction in water using machine learning (random forest) based on conductivity. Credit: Korea Institute of Science and Technology.

Read more at National Research Council of Science and Technology/Tech Xplore

Scientific paper: Hoo Hugo Kim et al, Decoupling ion concentrations from effluent conductivity profiles in capacitive and battery electrode deionizations using an artificial intelligence model, Water Research (2024). DOI: 10.1016/j.watres.2024.122092

Other recent news

Magnetic Prosthetic Hands: Researchers at the BioRobotics Institute have developed a new magnetic prosthetic hand that allows for natural, precise control of robotic fingers.

Revolutionary OLEDs: A new device, thinner than a human hair, has been developed to replace bulky night vision goggles with lightweight glasses. This could significantly enhance the usability and comfort of night vision technology.

Energy Harvesting at Room Temperature: Scientists have created an organic thermoelectric device that can harvest energy at room temperature without needing a temperature gradient. This breakthrough could lead to new ways of generating energy sustainably.

Battery Breakthrough: Columbia Engineers have developed a new, more powerful electrolyte for batteries, potentially solving one of the biggest challenges in renewable energy storage.

Silk and Graphene Electronics: Researchers have found a way to create a two-dimensional silk protein layer on graphene, which could lead to advancements in flexible and wearable electronics.