TY  - BOOK
AU  - Boicea,Valentin A.
TI  - Energy management: big data in power load forecasting 
SN  - 9781000437683
AV  - TJ163.2 
U1  - 621.042 23
PY  - 2021///
CY  - Boca Raton, FL
PB  - CRC Press
KW  - Power resources
KW  - Management
KW  - Forecasting
KW  - Big data
KW  - COMPUTERS / Machine Theory
KW  - bisacsh
KW  - SCIENCE / Energy
KW  - TECHNOLOGY / Engineering / Mechanical
N2  - 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
UR  - https://www.taylorfrancis.com/books/9781003147213
UR  - http://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf
ER  -