Artificial Intelligence for Energy Systems

Driving Intelligent, Flexible and Optimal Energy Management

AvElissaios Sarmas,Vangelis Marinakis

Inbunden, Engelska, 2025

Del 46 i serien Learning and Analytics in Intelligent Systems

1 698 kr

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Beskrivning

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

Utgivningsdatum:2025-03-22
Mått:155 x 235 x 21 mm
Vikt:592 g
Format:Inbunden
Språk:Engelska
Serie:Learning and Analytics in Intelligent Systems
Antal sidor:266
Förlag:Springer International Publishing AG
ISBN:9783031852084

Utforska kategorier

Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
Energiindustri inom Ekonomi och Ledarskap
Databaser inom Data och IT

Innehållsförteckning

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.

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