Smart Energy Management : Data Driven Methods for Energy Service Innovation

Chapter 1 Introduction -- Chapter 2 Residential Electricity Consumption Pattern Mining based on Fuzzy Clustering -- Chapter 3 Load Profiling Considering Shape Similarity using Shape-based Clustering -- Chapter 4 Load Classification and Driven Factors Identification based on Ensemble Clustering -- Chapter 5 Power Demand and Probability Density Forecasting based on Deep Learning -- Chapter 6 Load Forecasting of Residential Buildings based on Deep Learning -- Chapter 7 Incentive-based Demand Response with Deep Learning and Reinforcement Learning -- Chapter 8 Residential Electricity Pricing based on Multi-Agent Simulation -- Chapter 9 Integrated Energy Services based on Integrated Demand Response -- Chapter 10 Electric Vehicle Charging Scheduling Considering Different Charging Demands -- Chapter 11 P2P Electricity Trading Pricing in Energy Blockchain Environment -- Chapter 12 Credit-Based P2P Electricity Trading in Energy Blockchain Environment.