Optimization of unit commitment considering multiple stochastic factors and interruptible load under chance constraints

Baodi Ding; Mingxin Zhao; Xiaohui Qin; Shuqi Chen

doi:10.1038/s41598-025-31323-4

Optimization of unit commitment considering multiple stochastic factors and interruptible load under chance constraints

B Baodi Ding M Mingxin Zhao (State Key Laboratory of Hydroscience and Engineering, Key Laboratory of Hydrosphere Sciences of the Ministry of Water Resources, and Department of Hydraulic Engineering, Tsinghua University) X Xiaohui Qin S Shuqi Chen (Department of Chemistry)

Download PDF View Original

APA MLA Chicago BibTeX RIS

Article Details

Journal Scientific Reports

Volume / Issue Vol. 16, Issue 1

Published December 16, 2025

DOI 10.1038/s41598-025-31323-4

ISSN 2045-2322

Publisher Nature Portfolio

Journal Info

Scientific Reports

Nature Portfolio

ISSN: 2045-2322 Open Access Life Sciences

Authors (4)

B

Baodi Ding

M

Mingxin Zhao

State Key Laboratory of Hydroscience and Engineering, Key Laboratory of Hydrosphere Sciences of the Ministry of Water Resources, and Department of Hydraulic Engineering, Tsinghua University

X

Xiaohui Qin

S

Shuqi Chen

Department of Chemistry

Optimization of unit commitment considering multiple stochastic factors and interruptible load under chance constraints

Article Details

Journal Info

Authors (4)

Related Articles from this Journal

AI models of unstable flow exhibit hallucination

The MCAA-YOLO + XPBI integrated model provides a hybrid intelligent measurement method for predicting the body weight of Hu sheep

Application of iron nano-biofertilizers as a sustainable approach to enhance growth and micronutrient uptake in soybean

Adolescents’ status-dependent public and private conformity to prosocial and antisocial decisions in a public goods game

An explainable hierarchical capsule network framework for supporting expert sensory evaluation of herbal medicines with natural language generation