Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems (Record no. 43958)

MARC details
000 -LEADER
fixed length control field 02051nam a2200277Ia 4500
000 - LEADER
fixed length control field 02425naaa 00325uu
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/67410
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20211222133738.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 211013s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781838800925
024 ## - OTHER STANDARD IDENTIFIER
Standard number or code 10.5772/intechopen.85999
042 ## - AUTHENTICATION CODE
Authentication code dc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Harrou, Fouzi
245 #0 - TITLE STATEMENT
Title Advanced Statistical Modeling, Forecasting, and Fault Detection in Renewable Energy Systems
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Name of publisher, distributor, etc. IntechOpen
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (210 p.)
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
520 ## - SUMMARY, ETC.
Summary, etc. Fault detection, control, and forecasting have a vital role in renewable energy systems (Photovoltaics (PV) and wind turbines (WTs)) to improve their productivity, ef?ciency, and safety, and to avoid expensive maintenance. For instance, the main crucial and challenging issue in solar and wind energy production is the volatility of intermittent power generation due mainly to weather conditions. This fact usually limits the integration of PV systems and WTs into the power grid. Hence, accurately forecasting power generation in PV and WTs is of great importance for daily/hourly efficient management of power grid production, delivery, and storage, as well as for decision-making on the energy market. Also, accurate and prompt fault detection and diagnosis strategies are required to improve efficiencies of renewable energy systems, avoid the high cost of maintenance, and reduce risks of fire hazards, which could affect both personnel and installed equipment. This book intends to provide the reader with advanced statistical modeling, forecasting, and fault detection techniques in renewable energy systems.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term Alternative & renewable energy sources & technology
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Sun, Ying
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://directory.doabooks.org/handle/20.500.12854/67410">https://directory.doabooks.org/handle/20.500.12854/67410</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="https://mts.intechopen.com/storage/books/9425/authors_book/authors_book.pdf">https://mts.intechopen.com/storage/books/9425/authors_book/authors_book.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier <a href="www.oapen.org">www.oapen.org</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type E-Book
Holdings
Withdrawn status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Date acquired Total Checkouts Date last seen Price effective from Koha item type
  Library of Congress Classification   Not For Loan Directory of Open Access Books Directory of Open Access Books 12/22/2021   12/22/2021 12/22/2021 E-Book

University of Rizal System
Email us at univlibservices@urs.edu.ph

Visit our Website www.urs.edu.ph/library

Powered by Koha