Reprint
Artificial Intelligence in the Energy Industry
Edited by
July 2022
146 pages
- ISBN978-3-0365-4605-6 (Hardback)
- ISBN978-3-0365-4606-3 (PDF)
This book is a reprint of the Special Issue Artificial Intelligence in the Energy Industry that was published in
Chemistry & Materials Science
Engineering
Environmental & Earth Sciences
Physical Sciences
Summary
This book showcases all the various research approaches focused on the relationship between the use of artificial intelligence and its direct application in the field of the energy sector, or so-called smart energy. The different chapters address the high incidence of contributions from the perspective of energy efficiency in energy management, production, and consumption. The use of AI will therefore make it possible to produce, consume and manage energy and energy products better, with fewer resources and less environmental impact.
Format
- Hardback
License
© 2022 by the authors; CC BY-NC-ND license
Keywords
artificial neural networks; data analysis; signal decomposition; district heating; forecasting; cyber-physical system; ecosystem; remote industries; OHS; energy efficiency; smart meter; artificial intelligence; COVID-19; machine learning; benchmarking; prediction; pipeline; features; training; validation; tuning; evaluation and model verification; price prediction; trend prediction; LSTM; SVM; Random Forest; MAPE; MSE; commodity price; building energy management systems; HVAC control; Internet of Things; occupancy prediction; reinforcement learning; virtual energy assessment; artificial neural network; commercial buildings; energy efficiency; energy saving; blockchain; energy market; multi-agent system; negotiation; distributed ledger technology