Improving accuracy and generalization performance of small-size recurrent neural networks applied to short-term load forecasting › Research Explorer

Improving accuracy and generalization performance of small-size recurrent neural networks applied to short-term load forecasting

Research output: Contribution to journal › Article › peer-review

DOI

https://doi.org/10.3390/math8122169
Final published version

Pavel V. Matrenin
Vadim Z. Manusov
Alexandra I. Khalyasmaa
Dmitry V. Antonenkov
Stanislav A. Eroshenko
Denis N. Butusov

Original language	English
Article number	2169
Pages (from-to)	1-17
Number of pages	17
Journal	Mathematics
Volume	8
Issue number	12
DOIs	https://doi.org/10.3390/math8122169
Publication status	Published - Dec 2020

WoS ResearchAreas Categories

Mathematics

ASJC Scopus subject areas

Mathematics(all)

Research areas

Coal mining, Neural network applications, Recurrent neural networks, Short-term load forecasting

ID: 20414293