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    Advances in Electric Power and Energy Systems

    Load and Price Forecasting

    AvMohamed E. El-Hawary,Mohamed E. El-Hawary

    Inbunden, Engelska, 2017

    Del i serien IEEE Press Series on Power and Energy Systems

    1 464 kr

    Beställningsvara. Skickas inom 5-8 vardagar. Fri frakt över 249 kr.

    Beskrivning

    A comprehensive review of state-of-the-art approaches to power systems forecasting from the most respected names in the field, internationallyAdvances 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 networksProvides 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 modelsDeals with price forecasting in a competitive marketIncludes estimation of post-storm restoration times for electric power distribution systemsFeatures contributions from world-renowned experts sharing their insights and expertise in a series of self-contained chaptersAdvances 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.

    Produktinformation

    • Utgivningsdatum:2017-08-25
    • Mått:160 x 239 x 23 mm
    • Vikt:590 g
    • Format:Inbunden
    • Språk:Engelska
    • Serie:IEEE Press Series on Power and Energy Systems
    • Antal sidor:336
    • Förlag:John Wiley & Sons Inc
    • ISBN:9781118171349

    Utforska kategorier

    • Elektronik och kommunikationer inom Naturvetenskap och teknik

    Mer om författaren

    Mohamed E. El-Hawary, PhD is Professor of Electrical and Computer Engineering at Dalhousie University. He is also the editor for the IEEE Press Power Engineering Series. His contributions to electrical engineering research, education, and industry cover more than forty years. His pioneering work in the economic operation of power systems and the application of computational intelligence techniques to power system operational problems has been cited in numerous textbooks and research monographs and more than 300 research articles. He has published multiple books with Wiley, including Principles of Electric Machines with Power Electronic Applications, 2nd Edition, and Introduction to Electrical Power Systems.

    Innehållsförteckning

    • Preface and Acknowledgments viiContributors ix1. Introduction 1Mohamed E. El-Hawary2. Univariate Methods for Short-Term Load Forecasting 17James W. Taylor and Patrick E. McSharry3. Application of the Weighted Nearest Neighbor Method to Power System Forecasting Problems 41Antonio Gómez-Expósito, Alicia Troncoso, Jesús M. Riquelme-Santos, Catalina Gómez-Quiles, José L.Martínez-Ramos, and José C. Riquelme4. Electricity Prices as a Stochastic Process 89Yunhe Hou, Chen-Ching Liu, and Harold Salazar5. Short-Term Forecasting of Electricity Prices Using Mixed Models 153Carolina García-Martos, Julio Rodríguez, and María Jesús Sánchez6. Electricity Price Forecasting Using Neural Networks and Similar Days 215Paras Mandal, Anurag K. Srivastava, Tomonobu Senjyu, and Michael Negnevitsky7. Estimation of Post-Storm Restoration Times for Electric Power Distribution Systems 251Rachel A. Davidson, Haibin Liu, and Tatiyana V. Apanasovich8. A Nonparametric Approach for River Flow Forecasting Based on Autonomous Neural Network Models 285Vitor Hugo Ferreira and Alexandre P. Alves da SilvaIndex 297
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