Advances in electric power and energy systems : load and price forecasting /
edited by Mohamed E. El-Hawary.
- 1 PDF (328 pages).
- IEEE Press series on power engineering .
- IEEE Press series on power engineering. .
Includes index.
Includes bibliographical references and index.
Introduction / Mohamed E El-Hawary -- Univariate Methods for Short-Term Load Forecasting / James W Taylor, Patrick E McSharry -- Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems / Antonio G�aomez-Exp�aosito, Alicia Troncoso, Jes�aus M Riquelme-Santos, Catalina G�aomez-Quiles, Jos�ae L Mart�ainez-Ramos, Jos�ae C Riquelme -- Electricity Prices as a Stochastic Process / Yunhe Hou, Chen-Ching Liu, Harold Salazar -- Short-Term Forecasting of Electricity Prices Using Mixed Models / Carolina Garc�aia-Martos, Julio Rodr�aiguez, Mar�aia Jes�aus S�aanchez -- Electricity Price Forecasting Using Neural Networks and Similar Days / Paras Mandal, Anurag K Srivastava, Tomonobu Senjyu, Michael Negnevitsky -- Estimation of Post-Storm Restoration Times for Electric Power Distribution Systems / Rachel A Davidson, Haibin Liu, Tatiyana V Apanasovich -- A Nonparametric Approach for River Flow Forecasting Based on Autonomous Neural Network Models / Vitor Hugo Ferreira, Alexandre P Alves da Silva.
Restricted to subscribers or individual electronic text purchasers.
A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world's foremost names in the field who address a range of critical issues, from forecasting power system load to power system pricing to post-storm service restoration times, river flow forecasting, and more. In a time of ever-increasing energy demands, mounting concerns over the environmental impacts of power generation, and the emergence of new, smart-grid technologies, electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every maximization strategy. This book fills a gap in the literature on this increasingly important topic. Following an introductory chapter offering background information necessary for a full understanding of the forecasting issues covered, this book: . Introduces advanced methods of time series forecasting, as well as neural networks. Provides in-depth coverage of state-of-the-art power system load forecasting and electricity price forecasting . Addresses river flow forecasting based on autonomous neural network models. Deals with price forecasting in a competitive market. Includes estimation of post-storm restoration times for electric power distribution systems. Features contributions from world-renowned experts sharing their insights and expertise in a series of self-contained chapters Advances in Electric Power and Energy Systems is a valuable resource for practicing engineers, regulators, planners, and consultants working in or concerned with the electric power industry. It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.
Mode of access: World Wide Web
9781119260295 9781119308966 1119308968
10.1002/9781119260295 doi
Electric power systems.
Electric power systems.
Electronic books.
TK1001
621.31
Includes index.
Includes bibliographical references and index.
Introduction / Mohamed E El-Hawary -- Univariate Methods for Short-Term Load Forecasting / James W Taylor, Patrick E McSharry -- Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems / Antonio G�aomez-Exp�aosito, Alicia Troncoso, Jes�aus M Riquelme-Santos, Catalina G�aomez-Quiles, Jos�ae L Mart�ainez-Ramos, Jos�ae C Riquelme -- Electricity Prices as a Stochastic Process / Yunhe Hou, Chen-Ching Liu, Harold Salazar -- Short-Term Forecasting of Electricity Prices Using Mixed Models / Carolina Garc�aia-Martos, Julio Rodr�aiguez, Mar�aia Jes�aus S�aanchez -- Electricity Price Forecasting Using Neural Networks and Similar Days / Paras Mandal, Anurag K Srivastava, Tomonobu Senjyu, Michael Negnevitsky -- Estimation of Post-Storm Restoration Times for Electric Power Distribution Systems / Rachel A Davidson, Haibin Liu, Tatiyana V Apanasovich -- A Nonparametric Approach for River Flow Forecasting Based on Autonomous Neural Network Models / Vitor Hugo Ferreira, Alexandre P Alves da Silva.
Restricted to subscribers or individual electronic text purchasers.
A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationally Advances in Electric Power and Energy Systems is the first book devoted exclusively to a subject of increasing urgency to power systems planning and operations. Written for practicing engineers, researchers, and post-grads concerned with power systems planning and forecasting, this book brings together contributions from many of the world's foremost names in the field who address a range of critical issues, from forecasting power system load to power system pricing to post-storm service restoration times, river flow forecasting, and more. In a time of ever-increasing energy demands, mounting concerns over the environmental impacts of power generation, and the emergence of new, smart-grid technologies, electricity price forecasting has assumed a prominent role within both the academic and industrial arenas. Short-run forecasting of electricity prices has become necessary for power generation unit schedule, since it is the basis of every maximization strategy. This book fills a gap in the literature on this increasingly important topic. Following an introductory chapter offering background information necessary for a full understanding of the forecasting issues covered, this book: . Introduces advanced methods of time series forecasting, as well as neural networks. Provides in-depth coverage of state-of-the-art power system load forecasting and electricity price forecasting . Addresses river flow forecasting based on autonomous neural network models. Deals with price forecasting in a competitive market. Includes estimation of post-storm restoration times for electric power distribution systems. Features contributions from world-renowned experts sharing their insights and expertise in a series of self-contained chapters Advances in Electric Power and Energy Systems is a valuable resource for practicing engineers, regulators, planners, and consultants working in or concerned with the electric power industry. It is also a must read for senior undergraduates, graduate students, and researchers involved in power system planning and operation.
Mode of access: World Wide Web
9781119260295 9781119308966 1119308968
10.1002/9781119260295 doi
Electric power systems.
Electric power systems.
Electronic books.
TK1001
621.31