Artificial Intelligence for Energy Systems

Driving Intelligent, Flexible and Optimal Energy Management

Inbunden, Engelska, 2025

Av Elissaios Sarmas, Vangelis Marinakis, Haris Doukas

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This book focuses on creating an integrated library of learning models and optimization techniques to assist decision-making on issues in the energy and building sector.

Produktinformation

Utgivningsdatum2025-03-22
Mått155 x 235 x 21 mm
Vikt592 g
FormatInbunden
SpråkEngelska
SerieLearning and Analytics in Intelligent Systems
Antal sidor266
FörlagSpringer International Publishing AG
ISBN9783031852084

Tillhör följande kategorier

Energiindustri inom Ekonomi och ledarskap
Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
Artificiell intelligens inom Data och it
Databaser inom Data och it

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.