This book covers the applications of various big data analytics, artificial intelligence, and machine learning technologies in smart grids for demand prediction, decision-making processes, policy, and energy management.
Inhaltsverzeichnis
1. Innovation, Opportunities, and Ongoing Challenges of AI and IOE in the Power and Energy Sector 2. Applications of Artificial Intelligence in Intelligent Combustion and Energy Storage Technologies 3. Sustainable Smart Energy Systems and Energy Preservation Strategies in Intelligent Transportation Sectors 4. Application of ANN Techniques to Mitigation of Power Quality Problems 5. Application of the LMS Algorithm for Mitigation of Voltage Sag as a Power Quality Problem 6. Blockchain-based Solutions for Electricity Supply Chain in Smart Grids 7. Virtual Power Plant 8. AI Business Models in Emerging Energy Markets: Smart Grid 9. Artificial Neural Networks and Forecasting Major Energy Markets
