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...

Electric power industry is a typical industry with high energy consumption and high emissions in China. To relieve the increasing environmental pressures and promote the sustainable development of China’s economy and society, it is urgent to take actions to reduce energy consumption and...

The reform of China’s power industry has lasted for decades, while the implementation of demand side management (DSM) in China is still in its infancy. In this paper, we present a comprehensive study of the DSM and Demand Response (DR) programs in China under the context of China’s power...

In the smart grid environment, the flexible and diverse distributed generation (DG) and microgrid (MG) are attracting considerable attention. There are many key management and optimization issues involved in smart grid. As an important part of smart grid optimizations, the optimal load...

The load data in smart grid contains a lot of valuable knowledge, which is useful for both electricity producers and consumers. Load classification is an important issue in load data mining. A five-stage process model of load classification is constructed based on the summary and analysis of...