Skip to content
Independent research & intelligence
OPEN VARIABLE

Evidence-First Signal Intelligence

Menu

Research literature / Preprint / posted paper

Probabilistic Short-Term Electricity Price Forecasting Considering Renewable Energy Penetration and Residual Load

Guangxue Wang; Hongchun Shu; Yulei Huang; Botao Shi; Shunguang Lei; Wei Huang; Cunli Mao

Published
Publisher
Elsevier BV
Research area
Energy & infrastructure
Source type
Preprint / posted paper
DOI
10.2139/ssrn.7416814

Read the original source ↗

This is a preprint or other posted paper. Check the original source for its review and publication status.

The original publisher provides the full text and its access options.

Cite this source

Guangxue Wang; Hongchun Shu; Yulei Huang; Botao Shi; Shunguang Lei; Wei Huang; Cunli Mao. Probabilistic Short-Term Electricity Price Forecasting Considering Renewable Energy Penetration and Residual Load. Elsevier BV. 2026. https://doi.org/10.2139/ssrn.7416814

Download RIS