Artificial Intelligence for Energy Systems - Doukas, Haris

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Résumé :

1.The Climate Crisis and the Four Pillars of Energy Transition: Decarbonization, Digitization, Decentralization, and Democratization.- 2.The Role of Artificial Intelligence in Transforming the Energy Sector: A Comprehensive Review.- 3.Scalable Framework for Intelligent System Architecture to Address Challenges in the Energy Sector.- 4.Deep Learning Models for Short-Term Forecasting of Photovoltaic Energy Production.- 5.Machine Learning-Driven Energy Consumption Forecasting for Building Profiling.- 6.Meta-Learning Approaches for Assessing Energy Efficiency Investments in Buildings.- 7.Ensemble Machine Learning Models for Estimating Energy Savings from Efficiency Measures in Buildings.- 8.Optimization Model for Scheduling Flexible Loads to Mitigate Energy Peaks.- 9.Optimization Model for Electric Vehicle Integration and Energy Storage to Achieve Energy Autonomy.- 10.Future Directions of Intelligent Energy Management and the Role of Generative AI.