TY - BOOK
T1 - Smart Energy and Electric Power Systems
T2 - Current Trends and New Intelligent Perspectives
AU - Padmanaban, Sanjeevikumar
AU - Holm-Nielsen, Jens Bo
AU - Padmanandam, Kayal
AU - Dhanaraj, Rajesh Kumar
AU - Balusamy, Balamurugan
N1 - Publisher Copyright:
© 2023 Elsevier Inc. All rights reserved.
PY - 2022/1/1
Y1 - 2022/1/1
N2 - Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.
AB - Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives reviews key applications of intelligent algorithms and machine learning techniques to increasingly complex and data-driven power systems with distributed energy resources to enable evidence-driven decision-making and mitigate catastrophic power shortages. The book reviews foundations towards the integration of machine learning and smart power systems before addressing key challenges and issues. The work then explores AI- and ML-informed techniques to rebalancing of supply and demand. Methods discussed include distributed energy resources and prosumer markets, electricity demand prediction, component fault detection, and load balancing. Security solutions are introduced, along with potential solutions to cyberattacks, security data detection and critical loads in power systems. The work closes with a lengthy discussion, informed by case studies, on integrating AI and ML into the modern energy sector.
UR - http://www.scopus.com/inward/record.url?scp=85142566934&partnerID=8YFLogxK
U2 - 10.1016/C2021-0-00466-1
DO - 10.1016/C2021-0-00466-1
M3 - Book
AN - SCOPUS:85142566934
SN - 9780323916851
BT - Smart Energy and Electric Power Systems
PB - Elsevier Editora
ER -