Alsym Energy’s Post

The article explores the burgeoning relationship between artificial intelligence (AI) and energy sectors, highlighting how AI is revolutionizing the energy landscape. It discusses various applications of AI in optimizing energy systems, enhancing efficiency, and facilitating the transition to renewable energy sources. The article emphasizes the potential of AI to unlock new opportunities for sustainability and decarbonization while addressing challenges such as grid management and demand forecasting. It concludes by underlining the crucial role of collaboration between AI experts and energy stakeholders in shaping a smarter, cleaner energy future. https://lnkd.in/gVGd6TzE

Harnessing the Future: AI's Transformative Role in Solar Energy The solar energy sector is poised for a technological revolution, driven by Artificial Intelligence and Machine Learning. AI/ML is reshaping solar power, from design optimization to maintenance. AI algorithms analyze environmental data and geographical layouts, revolutionizing solar panel placement, ensuring maximum energy efficiency and output. Predictive maintenance models ensure peak efficiency, reduce downtime, and extend solar panels' lifespan. AI enhances supply chain logistics in solar projects, predicts material needs, manages inventory, and optimizes procurement for timely execution. AI systems continuously monitor solar energy output, identifying inefficiencies and suggesting corrective actions for optimal operation. AI models adeptly predict solar power generation, integrating weather patterns and historical data, crucial for effective grid management and energy storage. AI/ML technologies are not just aiding the solar power industry; they are redefining it. Their application offers more efficient, cost-effective, and sustainable solar energy solutions, propelling the sector into a new era of innovation and growth. #SolarEnergy #ArtificialIntelligence #RenewableEnergy #TechInnovation #SustainableFuture How do you see AI/ML shaping the future of renewable energy? Have you tried out any such application, and what impact has it made in your solar power journey? Join the conversation!

🤖 5 Ways Artificial Intelligence (AI) Is reshaping the Energy sector, from analyzing data for actionable insights to enhancing supply chain strategies. ️ 🔍 Interest in Artificial Intelligence (AI) is at an all-time high, especially within the energy sector. Many companies are already piloting AI-powered applications to decarbonize operations, improve safety and overall operational efficiency. However, to push into the next frontier of efficiency and sustainability, the industry needs a clear vision and mission on how to harness the true innovative potential of AI and understand how it fits within their current digital strategy.     Ahead of our upcoming AI in Energy Summit in Houston, from June 17-18, we’ve highlighted the top five applications of AI in the energy sector, delving into renewable energy, smart grids, and more in an insightful infographic.  Read Here: https://lnkd.in/euArwE8w #OGIQ #AIinEnergy #Sustainability #Innovation #EnergySector  

Renewable energy is moving towards smarter development with the help of AI technology. Through machine learning, big data analysis and other means, AI is bringing revolutionary changes to clean energy fields such as wind power and photovoltaics

My colleagues' commentary on the use of AI in the energy sector: 'Wind power output, for example, can be forecast using weather models and information on the location of turbines. However, deviations in wind flow can lead to output levels that are higher or lower than expected, pushing up operational costs. To address this, Google and its AI subsidiary DeepMind developed a neural network in 2019 to increase the accuracy of forecasts for its 700 MW renewable fleet. Based on historical data, the network developed a model to predict future output up to 36 hours in advance with much greater accuracy than was previously possible. This greater visibility allows Google to sell its power in advance, rather than in real time. The company has stated that this, along with other AI-facilitated efficiencies, has increased the financial value of its wind power by 20%. Higher prices also improve the business case for wind power and can drive further investment in renewables. (...) A range of utilities are developing AI-enabled schemes to help monitor physical assets and use past data on performance and outages to predict when intervention is required. Utility company E.ON, for instance, has developed a machine learning algorithm to predict when medium voltage cables in the grid need to replaced, using data from a range of sources to identify patterns in electricity generation and flag any inconsistencies. E.ON’s research suggests that predictive maintenance could reduce outages in the grid by up to 30% compared with a conventional approach.'

The headline from IEA says it all. AI is a critical element in driving Energy transition from improved forecasting to optimizing DERs. We at Schneider Electric are at the forefront of applying the technology of this generation - AI to the most important challenge of this generation - Energy. https://lnkd.in/e9ywKxXQ

The Future of AI in Energy: Transforming the Power Sector 🚀 Exciting news! The future of AI in the energy sector is here, and it's about to revolutionize the power industry! 🌟 Check out our latest blog post on "The Future of AI in Energy: Transforming the Power Sector." 💡 In this article, we delve into how Artificial Intelligence (AI) applications are reshaping the power sector and how they can help optimize operations, reduce costs, and minimize environmental impact. From smart grid management to energy storage optimization, predictive maintenance, demand response management, energy trading, and renewable energy forecasting, AI is transforming the way we generate, distribute, and consume energy. 🔋 Curious to know more? Don't miss out! Read the full blog post here: [link](https://ift.tt/5ELVPgS) 📚 Let's embrace the future of energy with AI's game-changing potential! 🌍💪 #AIinEnergy #PowerSectorTransformation #RenewableEnergy #FutureOfEnergy https://ift.tt/5ELVPgS

N-SIDE and Elia join forces to empower energy transmission with the power #AI! 🤝⚡ In a groundbreaking collaboration with Elia, N-SIDE unveils a cutting-edge AI-powered tool for incident cause identification in energy transmission. Brace yourself for near real-time incident recognition as we leverage powerful machine learning algorithms to optimize efficiency and drive cost reductions for transmission system operators (TSOs). By intelligently prioritizing high-impact incidents, we equip TSOs with the tools to make lightning-fast, risk-based decisions, minimizing downtime and enhancing system adequacy. Imagine the possibilities! 💪 Our solution achieved an astounding 80% accuracy rate, setting a new industry standard. And we're not stopping there. We're constantly enhancing our AI-based solutions, paving the way towards a greener, more sustainable energy future. 🌱💡 📖👀 Curious to learn more? Explore the blog post by Ramiro Criach, delving into how we're revolutionizing incident analysis for grid operators. ➡️ https://bit.ly/3DkPkoW #energytransition #powermarkets #sustainability

#ArtificialIntelligence can lead to more sustainable and efficient #energy solutions and to reduce global carbon emissions by improving the deployment of #RenewableEnergy sources. #AI will play, and is already playing, an essential role in the energy sector and the #EnergyTransition.  At AleaSoft Energy Forecasting - en we have been using AI for #EnergyForecasting for 25 years. https://lnkd.in/g-DbZrNB

📅 Exactly one year ago we issued the challenge around the Asset Management #moonshot at #eliagroupinnovation. (https://lnkd.in/eEWtUdex) When we advertised the call for participation to external partners we were not quite sure which direction the exploration would go. We had only one objective in mind: resolve grid incidents within 10 minutes. Two tracks were started and executed as a result of that: •MVP of an ‘Incident Cause Recognition’ Algorithm developed together with N-SIDE as shared in the below article. We aim to increase that accuracy up to 90% in future iterations of the tool. •Tested ‘Drone in a box’ for verification of remaining 10% of incidents. (https://lnkd.in/eHqDBqub)   Is not over yet ! some further steps to bring the moonshot into a final stage, but happy to reflect on the great results achieved so far in both tracks. #eliagroup #moonshot #assetmanagement #gridmodernization #eliagroupinnovation