CRC Press
Energy Management : Big Data in Power Load Forecasting
Product Code:
9780367706623
ISBN13:
9780367706623
Condition:
New
$32.14
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.
| Author: Valentin A Boicea |
| Publisher: CRC Press |
| Publication Date: Oct 08, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 0367706628 |
| ISBN-13: 9780367706623 |
Energy Management : Big Data in Power Load Forecasting
$32.14
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.
| Author: Valentin A Boicea |
| Publisher: CRC Press |
| Publication Date: Oct 08, 2024 |
| Number of Pages: NA pages |
| Language: English |
| Binding: Paperback |
| ISBN-10: 0367706628 |
| ISBN-13: 9780367706623 |
