Artificial Intelligence Empowered Smart Energy Systems

Qiang Yang, PhD, is a Full Professor at the College of Electrical Engineering at Zhejiang University, China. He is a Senior Member of the IEEE and a Distinguished Member of the China Computer Federation. His primary research interests include smart energy systems, learning-based optimization and control. Gang Huang, PhD, is an Assistant Professor at the College of Electrical Engineering at Zhejiang University, China. He is a Senior Member of the IEEE and a Senior Member of the China Computer Federation. His primary research interests include artificial intelligence for power and energy systems.

• Chapter 1 Machine Learning-based Applications for Cyberattack and Defense in Smart Energy SystemsChapter 2 Enhancing Cybersecurity in Power Communication Networks: An Approach to Resilient CPPS through Communication Channel Expansion and Optimal Defense Resource AllocationChapter 3 Multi-Objective Real-time Control of Operating Condition Using Deep Reinforcement LearningChapter 4 Smart Generation Control based on Multi-agentChapter 5 Power System Fault Diagnosis Method under Disaster Weather Based on Random Self-regulating AlgorithmChapter 6 Statistical Machine Learning Model for Production Simulation of Power Systems with a High Proportion of Photovoltaics1Chapter 7 Dynamic Reconfiguration of PV-TEG Hybrid Systems via Improved Whale Optimization AlgorithmChapter 8 Coordinating Transactive Energy and Carbon Emission Trading among Multi-Energy Virtual Power Plants for Distributed LearningChapter 9 Cluster-Based Heuristic Algorithm for Collection System Topology Generation of A Large-Scale Offshore Wind FarmChapter 10 Transmission Line Multi-fitting Detection Method Based on Implicit Space Knowledge Fusion