This book aims to solve some key problems in the decision and optimization procedure for power market organizers and participants in data-driven approaches. It begins with an overview of the power market data and analyzes on their characteristics and importance for market clearing. Then, the first part of the book discusses the essential problem of bus load forecasting from the perspective of market organizers. The related works include load uncertainty modeling, bus load bad data correction, and monthly load forecasting. The following part of the book answers how much information can be obtained from public data in locational marginal price (LMP)-based markets. It introduces topics such as congestion identification, componential price forecasting, quantifying the impact of forecasting error, and financial transmission right investment. The final part of the book answers how to model the complex market bidding behaviors. Specific works include pattern extraction, aggregated supply curve forecasting, market simulation, and reward function identification in bidding. These methods are especially useful for market organizers to understand the bidding behaviors of market participants and make essential policies. It will benefit and inspire researchers, graduate students, and engineers in the related fields.

This book examines the transformations in form, genre, and content of contemporary Chinese print media. It describes and analyses the role of post-reform social stratification in the media, focusing particularly on how the changing practices and institutions of the industry correspond to and accelerate the emergence of a relatively affluent urban leisure-reading market. It argues that this reinvention of Chinese print media vis-a-vis the creation of a post-socialist taste (class) culture is an essential part of the cultural and affective transformations in contemporary Chinese society, and demonstrates how the reinvention of such taste culture effectively creates, through new kinds of reading materials and carefully demarcated target audiences, a middle-class civility that serves as the locus of the new niche media market.

This book examines the transformations in form, genre, and content of contemporary Chinese print media. It describes and analyses the role of post-reform social stratification in the media, focusing particularly on how the changing practices and institutions of the industry correspond to and accelerate the emergence of a relatively affluent urban leisure-reading market. It argues that this reinvention of Chinese print media vis-a-vis the creation of a post-socialist taste (class) culture is an essential part of the cultural and affective transformations in contemporary Chinese society, and demonstrates how the reinvention of such taste culture effectively creates, through new kinds of reading materials and carefully demarcated target audiences, a middle-class civility that serves as the locus of the new niche media market.

This book aims to solve some key problems in the decision and optimization procedure for power market organizers and participants in data-driven approaches. It begins with an overview of the power market data and analyzes on their characteristics and importance for market clearing. Then, the first part of the book discusses the essential problem of bus load forecasting from the perspective of market organizers. The related works include load uncertainty modeling, bus load bad data correction, and monthly load forecasting. The following part of the book answers how much information can be obtained from public data in locational marginal price (LMP)-based markets. It introduces topics such as congestion identification, componential price forecasting, quantifying the impact of forecasting error, and financial transmission right investment. The final part of the book answers how to model the complex market bidding behaviors. Specific works include pattern extraction, aggregated supply curve forecasting, market simulation, and reward function identification in bidding. These methods are especially useful for market organizers to understand the bidding behaviors of market participants and make essential policies. It will benefit and inspire researchers, graduate students, and engineers in the related fields.