Поиск по сайту


   
Дополнительные параметры поиска

Результаты поиска ( Отсортировано по релевантности | Сортировать по дате )


A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community

Li Y., Wen Z., Cao Y., Tan Y., Sidorov D., Panasetsky D. A combined forecasting approach with model self-adjustment for renewable generations and energy loads in smart community // Energy. Vol.129. 2017. P.216-227. DOI: 10.1016/j.energy.2017.04.032 The short-term forecasting of wind power, photovoltaic (PV) generation and loads is important for the secure and economical dispatching of smart community with smart grid. Considering the smart community has plenty of distributed generations, here, a...

Теги: wind power , photovoltaic generation , support vector machine , combined forecasting , smart community , extreme learning-machine , wavelet transform , neural-network , optimization , hybrid , regression , algorithm , management , design
Раздел: ИСЭМ СО РАН


Телефоны

основной    +7(3952) 500-646
приемная    +7(3952) 42-47-00
факс     +7(3952) 42-67-96
Смотреть справочник