Advances in electric power and energy systems : (Record no. 74511)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06350nam a2200937 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 7985005 |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20220712205949.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170801s2017 mau ob 001 eng d |
| 019 ## - | |
| -- | 990777980 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119260295 |
| -- | electronic bk. : oBook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119308966 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 1119308968 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| -- | electronic bk. : oBook |
| 082 04 - CLASSIFICATION NUMBER | |
| Call Number | 621.31 |
| 245 00 - TITLE STATEMENT | |
| Title | Advances in electric power and energy systems : |
| Sub Title | load and price forecasting / |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | 1 PDF (328 pages). |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press series on power engineering |
| 500 ## - GENERAL NOTE | |
| Remark 1 | Includes index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Remark 2 | 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. |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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. |
| 650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Electric power systems. |
| 650 #7 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
| Subject | Electric power systems. |
| 700 1# - AUTHOR 2 | |
| Author 2 | El-Hawary, M. E., |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7985005 |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | eBooks |
| 264 #1 - | |
| -- | Hoboken, New Jersey : |
| -- | Wiley, |
| -- | 2017. |
| 264 #2 - | |
| -- | [Piscataqay, New Jersey] : |
| -- | IEEE Xplore, |
| -- | [2017] |
| 336 ## - | |
| -- | text |
| -- | rdacontent |
| 337 ## - | |
| -- | electronic |
| -- | isbdmedia |
| 338 ## - | |
| -- | online resource |
| -- | rdacarrier |
| 588 ## - | |
| -- | Online resource; title from PDF title page (John Wiley, viewed June 21, 2017). |
| 695 ## - | |
| -- | Analytical models |
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| -- | Artificial neural networks |
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| -- | Autoregressive processes |
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| -- | Biological system modeling |
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| -- | Clustering algorithms |
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| -- | Companies |
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| -- | Complexity theory |
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| -- | Computational modeling |
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| -- | Data mining |
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| -- | Data models |
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| -- | Electricity supply industry |
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| -- | Estimation |
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| -- | Europe |
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| -- | Forecasting |
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| -- | Hidden Markov models |
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| -- | Hurricanes |
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| -- | Ice |
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| -- | Load forecasting |
| 695 ## - | |
| -- | Load modeling |
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| -- | Mathematical model |
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| -- | Meteorology |
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| -- | Neural networks |
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| -- | Numerical models |
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| -- | Power markets |
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| -- | Power system faults |
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| -- | Power systems |
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| -- | Predictive models |
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| -- | Probability density function |
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| -- | Stochastic processes |
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| -- | Storms |
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| -- | Time series analysis |
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