Advances in electric power and energy systems : (Record no. 42679)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 06285nam a2200925 i 4500 |
| 001 - CONTROL NUMBER | |
| control field | 7985005 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | IEEE |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20191218152128.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr |n||||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 170801s2017 mau ob 001 eng d |
| 019 ## - | |
| -- | 990777980 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119260295 |
| Qualifying information | electronic bk. : oBook |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781119308966 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 1119308968 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9781118171349 |
| Qualifying information | |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 1119260299 |
| Qualifying information | electronic bk. : oBook |
| 024 7# - OTHER STANDARD IDENTIFIER | |
| Standard number or code | 10.1002/9781119260295 |
| Source of number or code | doi |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (CaBNVSL)mat07985005 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (IDAMS)0b00006485e186cd |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | CaBNVSL |
| Language of cataloging | eng |
| Description conventions | rda |
| Transcribing agency | CaBNVSL |
| Modifying agency | CaBNVSL |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK1001 |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 621.31 |
| Edition number | 23 |
| 245 00 - TITLE STATEMENT | |
| Title | Advances in electric power and energy systems : |
| Remainder of title | load and price forecasting / |
| Statement of responsibility, etc. | edited by Mohamed E. El-Hawary. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Hoboken, New Jersey : |
| Name of producer, publisher, distributor, manufacturer | Wiley, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2017. |
| 264 #2 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | [Piscataqay, New Jersey] : |
| Name of producer, publisher, distributor, manufacturer | IEEE Xplore, |
| Date of production, publication, distribution, manufacture, or copyright notice | [2017] |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 PDF (328 pages). |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | electronic |
| Source | isbdmedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Source | rdacarrier |
| 490 1# - SERIES STATEMENT | |
| Series statement | IEEE Press series on power engineering |
| 500 ## - GENERAL NOTE | |
| General note | Includes index. |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE | |
| Bibliography, etc. note | Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | 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. |
| 506 ## - RESTRICTIONS ON ACCESS NOTE | |
| Terms governing access | Restricted to subscribers or individual electronic text purchasers. |
| 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. |
| 530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE | |
| Additional physical form available note | Also available in print. |
| 538 ## - SYSTEM DETAILS NOTE | |
| System details note | Mode of access: World Wide Web |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Online resource; title from PDF title page (John Wiley, viewed June 21, 2017). |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric power systems. |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Electric power systems. |
| Source of heading or term | fast |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 695 ## - | |
| -- | Analytical models |
| 695 ## - | |
| -- | Artificial neural networks |
| 695 ## - | |
| -- | Autoregressive processes |
| 695 ## - | |
| -- | Biological system modeling |
| 695 ## - | |
| -- | Clustering algorithms |
| 695 ## - | |
| -- | Companies |
| 695 ## - | |
| -- | Complexity theory |
| 695 ## - | |
| -- | Computational modeling |
| 695 ## - | |
| -- | Data mining |
| 695 ## - | |
| -- | Data models |
| 695 ## - | |
| -- | Electricity supply industry |
| 695 ## - | |
| -- | Estimation |
| 695 ## - | |
| -- | Europe |
| 695 ## - | |
| -- | Forecasting |
| 695 ## - | |
| -- | Hidden Markov models |
| 695 ## - | |
| -- | Hurricanes |
| 695 ## - | |
| -- | Ice |
| 695 ## - | |
| -- | Load forecasting |
| 695 ## - | |
| -- | Load modeling |
| 695 ## - | |
| -- | Mathematical model |
| 695 ## - | |
| -- | Meteorology |
| 695 ## - | |
| -- | Neural networks |
| 695 ## - | |
| -- | Numerical models |
| 695 ## - | |
| -- | Power markets |
| 695 ## - | |
| -- | Power system faults |
| 695 ## - | |
| -- | Power systems |
| 695 ## - | |
| -- | Predictive models |
| 695 ## - | |
| -- | Probability density function |
| 695 ## - | |
| -- | Stochastic processes |
| 695 ## - | |
| -- | Storms |
| 695 ## - | |
| -- | Time series analysis |
| 700 1# - ADDED ENTRY--PERSONAL NAME | |
| Personal name | El-Hawary, M. E., |
| Relator term | editor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | IEEE Xplore (Online Service), |
| Relator term | distributor. |
| 710 2# - ADDED ENTRY--CORPORATE NAME | |
| Corporate name or jurisdiction name as entry element | Wiley, |
| Relator term | publisher. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| International Standard Book Number | 9781118171349 |
| 830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE | |
| Uniform title | IEEE Press series on power engineering. |
| 856 42 - ELECTRONIC LOCATION AND ACCESS | |
| Materials specified | Abstract with links to resource |
| Uniform Resource Identifier | https://ieeexplore.ieee.org/xpl/bkabstractplus.jsp?bkn=7985005 |
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