Advances in electric power and energy systems : load and price forecasting /
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 operatio...
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| Format: | eBook |
| Language: | English |
| Published: |
Hoboken, NJ : Piscataway, NJ :
Wiley, ; IEEE Press,
2017
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| Series: | IEEE Press series on power engineering.
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| Subjects: | |
| Online Access: | CONNECT CONNECT |
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| 245 | 0 | 0 | |a Advances in electric power and energy systems : |b load and price forecasting / |c edited by Mohamed E. El-Hawary. |
| 264 | 1 | |a Hoboken, NJ : |b Wiley, ; |a Piscataway, NJ : |b IEEE Press, |c 2017 | |
| 300 | |a 1 online resource (xiii, 304 pages) : |b illustrations | ||
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| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Introduction / Mohamed E El-Hawary -- Univariate methods for short-term load forecasting / James W. Taylor and Patrick E. McSharry -- Application of the weighted nearest neighbor method to power system forecasting problems / Antonio Gómez-Expósito, Alicia Troncoso, Jesús M Riquelme-Santos, Catalina Gómez-Quiles, José L. Martínez-Ramos, and José C. Riquelme -- Electricity prices as a stochastic process / Yunhe Hou, Chen-Ching Liu, and Harold Salazar -- Short-term forecasting of electricity prices using mixed models / Carolina García-Martos, Julio Rodríguez, and María Jesús Sánchez -- Electricity price forecasting using neural networks and similar days / Paras Mandal, Anurag K Srivastava, Tomonobu Senjyu, and Michael Negnevitsky -- Estimation of post-storm restoration times for electric power distribution systems / Rachel A. Davidson, Haibin Liu, and Tatiyana V. Apanasovich -- A nonparametric approach for river flow forecasting based on autonomous neural network models / Vitor Hugo Ferreira and Alexandre P. Alves da Silva. | |
| 520 | |a 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. | ||
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