Power Load Forecasting Technology and Its Applications

Author: Ni Dongxiao et al.
Publisher:
Publish Date: 1999-04-01
Features: This book is divided into eight chapters. Chapter 1 introduces the basic concepts and prediction process of power load forecasting. Chapters 2 to 7 respectively elaborate on classical load forecasting techniques, trend extrapolation forecasting techniques, regression analysis forecasting techniques, time series random forecasting techniques, grey forecasting techniques, expert system forecasting techniques, neural network forecasting techniques, and optimal combination forecasting techniques, discussing the new developments in power load forecasting techniques. Chapter 8 introduces some load forecasting software. Each chapter is accompanied by application examples. This book can serve as a textbook for undergraduate and graduate students majoring in power technology economics, power engineering management, planning and statistics, information management, and power system automation in universities. It can also be used as a reference book for technical personnel in power system electricity consumption, dispatching, planning, planning and research departments.