logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Ensemble Forecasting Applied To Power Systems Antonio Bracale

  • SKU: BELL-54702980
Ensemble Forecasting Applied To Power Systems Antonio Bracale
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Ensemble Forecasting Applied To Power Systems Antonio Bracale instant download after payment.

Publisher: MDPI
File Extension: PDF
File size: 14.13 MB
Pages: 134
Author: Antonio Bracale, Pasquale De Falco
ISBN: 9783039283132, 3039283138
Language: English
Year: 2020

Product desciption

Ensemble Forecasting Applied To Power Systems Antonio Bracale by Antonio Bracale, Pasquale De Falco 9783039283132, 3039283138 instant download after payment.

Modern power systems are affected by many sources of uncertainty, driven by the spread of renewable generation, by the development of liberalized energy market systems and by the intrinsic random behavior of the final energy customers. Forecasting is, therefore, a crucial task in planning and managing modern power systems at any level: from transmission to distribution networks, and in also the new context of smart grids. Recent trends suggest the suitability of ensemble approaches in order to increase the versatility and robustness of forecasting systems. Stacking, boosting, and bagging techniques have recently started to attract the interest of power system practitioners. This book addresses the development of new, advanced, ensemble forecasting methods applied to power systems, collecting recent contributions to the development of accurate forecasts of energy-related variables by some of the most qualified experts in energy forecasting. Typical areas of research (renewable energy forecasting, load forecasting, energy price forecasting) are investigated, with relevant applications to the use of forecasts in energy management systems.

Related Products