Volterra equation based models for energy storage usage based on load forecast in EPS with renewable generation

DOI10.26516/1997-7670.2018.26.76zbMath1409.45003OpenAlexW2905363147WikidataQ128708470 ScholiaQ128708470MaRDI QIDQ1717125

Il'dar Rinatovich Muftakhov, Denis Nikolaevich Sidorov, Alekseĭ Vital'evich Zhukov

Publication date: 7 February 2019

Published in: Izvestiya Irkutskogo Gosudarstvennogo Universiteta. Seriya Matematika (Search for Journal in Brave)

Full work available at URL: http://mathizv.isu.ru/en/article/file?id=1283

zbMATH Keywords

forecastingmachine learningVolterra equationelectric power systemsenergy storage

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Volterra integral equations (45D05)

Related Items (2)

A novel numerical optimality technique to find the optimal results of Volterra integral equation of the second kind with discontinuous kernel ⋮ A note on linear non-Newtonian Volterra integral equations

Cites Work

• Unnamed Item
• Numeric solution of Volterra integral equations of the first kind with discontinuous kernels
• Bifurcation of local critical periods in the generalized Loud's system
• Random forests
• Stochastic gradient boosting.

This page was built for publication: Volterra equation based models for energy storage usage based on load forecast in EPS with renewable generation