國立高雄大學圖資館 |

登入

回首頁

Energy managementbig data in power load forecasting /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Energy managementValentin A. Boicea.
其他題名:	big data in power load forecasting /
作者:	Boicea, Valentin A.
出版者:	Boca Raton, FL :CRC Press,2021.
面頁冊數:	1 online resource (1 v.) :ill.
標題:	Power resourcesManagement.
電子資源:	https://www.taylorfrancis.com/books/9781003147213
ISBN:	9781003147213$q(ebook)

Energy managementbig data in power load forecasting /
Boicea, Valentin A.

Energy managementbig data in power load forecasting /[electronic resource] :Valentin A. Boicea. - 1st ed. - Boca Raton, FL :CRC Press,2021. - 1 online resource (1 v.) :ill.

Includes bibliographical references and index.

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same time, new energy services and new lines of business can be developed. The book will be of interest to electrical engineers, power engineers, and energy services professionals.

ISBN: 9781003147213$q(ebook)Subjects--Topical Terms:

724862
Power resources
--Management.

LC Class. No.: TJ163.2

Dewey Class. No.: 621.042

Energy managementbig data in power load forecasting /
LDR:01804cmm a2200337 a 4500 001 650311
003 FlBoTFG
005 20210722111624.0
006 m o d
007 cr cnu---unuuu
008 240227s2021 flu ob 001 0 eng d
020 $a 9781003147213$q(ebook)
020 $a 1003147216$q(ebook)
020 $a 9781000437683$q(ebook)
020 $a 100043768X$q(ebook)
020 $a 9781000437812$q(epub)
020 $a 1000437817$q(epub)
020 $z 9780367706166$q(hbk.)
020 $z 9780367706623$q(pbk.)
035 $a 9781003147213
040 $a OCoLC-P $b eng $c OCoLC-P
041 0 $a eng
050 4 $a TJ163.2
082 0 4 $a 621.042 $2 23
100 1 $a Boicea, Valentin A. $3 960327
245 1 0 $a Energy management $h [electronic resource] : $b big data in power load forecasting / $c Valentin A. Boicea.
250 $a 1st ed.
260 $a Boca Raton, FL : $b CRC Press, $c 2021.
300 $a 1 online resource (1 v.) : $b ill.
504 $a Includes bibliographical references and index.
520 $a This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering. Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same time, new energy services and new lines of business can be developed. The book will be of interest to electrical engineers, power engineers, and energy services professionals.
588 $a Description based on print version record.
650 0 $a Power resources $x Management. $3 724862
650 0 $a Power resources $x Forecasting. $3 341094
650 0 $a Big data. $3 609582
856 4 0 $u https://www.taylorfrancis.com/books/9781003147213