Smart Energy Management

Kaile Zhou () and Lulu Wen ()
Additional contact information
Kaile Zhou: Hefei University of Technology
Lulu Wen: Hefei University of Technology

in Springer Books from Springer

Date: 2022
ISBN: 978-981-16-9360-1
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Citations: View citations in EconPapers (2)

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Chapters in this book:

Ch Chapter 1 Introduction

Kaile Zhou and Lulu Wen

Ch Chapter 10 Electric Vehicle Charging Scheduling Considering Different Charging Demands

Kaile Zhou and Lulu Wen

Ch Chapter 11 P2P Electricity Trading Pricing in Energy Blockchain Environment

Kaile Zhou and Lulu Wen

Ch Chapter 12 Credit-Based P2P Electricity Trading in Energy Blockchain Environment

Kaile Zhou and Lulu Wen

Ch Chapter 2 Residential Electricity Consumption Pattern Mining Based on Fuzzy Clustering

Kaile Zhou and Lulu Wen

Ch Chapter 3 Load Profiling Considering Shape Similarity Using Shape-Based Clustering

Kaile Zhou and Lulu Wen

Ch Chapter 4 Load Classification and Driven Factors Identification Based on Ensemble Clustering

Kaile Zhou and Lulu Wen

Ch Chapter 5 Power Demand and Probability Density Forecasting Based on Deep Learning

Kaile Zhou and Lulu Wen

Ch Chapter 6 Load Forecasting of Residential Buildings Based on Deep Learning

Kaile Zhou and Lulu Wen

Ch Chapter 7 Incentive-Based Demand Response with Deep Learning and Reinforcement Learning

Kaile Zhou and Lulu Wen

Ch Chapter 8 Residential Electricity Pricing Based on Multi-Agent Simulation

Kaile Zhou and Lulu Wen

Ch Chapter 9 Integrated Energy Services Based on Integrated Demand Response

Kaile Zhou and Lulu Wen

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DOI: 10.1007/978-981-16-9360-1

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