Energy management involves the planning and operation of energy production, consumption, distribution and storage, with objectives including resource conservation, climate protection and cost savings. Growth in renewable energy - essential for the transition to a decarbonised energy system - adds the challenge of intermittency, making energy management all the more important.
This book explores the role of digitalization and the growing interest in using AI for energy management. Edited by a team of senior scientists, with ample project and industry experience, the book systematically covers methods, applications including forecasting and maintenance, and economic aspects.
The chapters cover solar and meteorological data collection and simulation, digital twins and data wrangling, ML, game theory and AI for energy management, edge to cloud, federated learning and quantum computing for energy management, intra-hour solar forecasting, use of synchrophasor technology, AI-powered energy conversion and resilience, explainable AI, electric mobility integration, optimization for EV adoption, predictive PV maintenance, AI and robotics for PV inspection, and blockchain-based microgrids.
AI and Digitalization in Energy Management will prove a useful resource for researchers in universities, research institutes and in industry involved with clean energy and AI systems, grid operators, as well as energy policy makers and advanced students in energy engineering.
Chapters
Front Matter
p. i–xix (20)
First Page
Introduction
Antonio Sanfilippo, Sertac Bayhan, Dragan Boscovic
p. 1–8 (8)
Abstract
Description
Sensor-based collection of solar and meteorological data
Dunia Bachour, Daniel Perez-Astudillo
p. 11–26 (16)
Description
Synthetic data generation through power hardware-in-the-loop (PHIL) simulations
Abdelbasset Krama, Anas Karaki, Ugur Fesli, Sertac Bayhan, Haitham Abu-Rub, Mohd Zamri Che Wanik
p. 27–48 (22)
Description
Data generation through digital twins
Dragan Boscovic, Antonio Sanfilippo, Sertac Bayhan
p. 49–68 (20)
Description
Data wrangling
Daniel Perez-Astudillo, Dunia Bachour
p. 69–76 (8)
Description
Machine learning
Joseph Cazier, Dragan Boscovic
p. 77–94 (18)
Description
Game theory and AI for strategic energy management
Anas Karaki, Khaled Abedrabboh, Luluwah Al-Fagih
p. 95–118 (24)
Description
Edge to cloud
Milenko Tosic, Fábio Coelho, Luis Ferreira, David Rua, Dragan Boscovic
p. 119–142 (24)
Description
AI in energy management: the market view
Sa'd Shannak, Deeb Alashgar, Abdalrahman Migdad
p. 143–164 (22)
Description
Federated learning for energy management applications
Rami Hamdi, Marwa Qaraqe
p. 165–187 (23)
Description
Quantum computing for energy management: a semi-non-technical guide for practitioners
Jirawat Tangpanitanon
p. 189–213 (25)
Description
Mapping all-sky images to GHI measurements for intra-hour solar forecasting
Nassma Mohandes, Daniel Perez-Astudillo, Dunia Bachour, Antonio Sanfilippo
p. 217–230 (14)
Description
Real-time measurement of electrical signal in medium-voltage distribution network using synchrophasor technology
Mohd Zamri Che Wanik, Abdullah Abdul Jabbar, Mohamed Gad, Antonio Sanfilippo
p. 231–258 (28)
Description
AI-powered power conversion
Ali Sharida, Naheel Kamal, Ugur Fesli, Sertac Bayhan, Haitham Abu-Rub
p. 259–299 (41)
Full text
PDF
Description
Empowering resilience: AI and the future of microgrids
Ali Sharida, Anas Karaki, Sertac Bayhan, Ugur Fesli, Haitham Abu-Rub
p. 301–328 (28)
Description
Building trust by design through explainable AI for resilient and cognitive smart grids
Mohamed Massaoudi, Haitham Abu-Rub, Ali Ghrayeb
p. 329–355 (27)
Description
Electric mobility integration: a deep dive into AI solutions
Ali Sharida, Anas Karaki, Sertac Bayhan, Haitham Abu-Rub
p. 357–370 (14)
Description
Optimization problems related to electric vehicle adoption
Raka Jovanovic, Sertac Bayhan
p. 371–390 (20)
Description
Predictive photovoltaic maintenance strategies
Antonio Sanfilippo, Dhanup Pillai, Juan Lopez Garcia, Veronica Bermudez Benito
p. 391–405 (15)
Description
AI and robotic techniques for PV inspection
Eduardo Feo Flushing, Gianni A. Di Caro
p. 407–432 (26)
Description
Toward a blockchain-based smart microgrid: a peer-to-peer renewable energy trading framework
Ameni Boumaiza, Antonio Sanfilippo, Dragan Boscovic
p. 433–449 (17)
Description
Conclusions
Antonio Sanfilippo, Sertac Bayhan, Dragan Boscovic
p. 451–454 (4)
Description
Back Matter
p. 455–470 (17)
