Nonparametric probabilistic forecasting based stochastic optimal scheduling of integrated electricity and gas systems

Nonparametric probabilistic forecasting based stochastic optimal scheduling of integrated electricity and gas systems

The volatility and sporadic availability of renewable energy create significant challenges to the optimal scheduling of integrated electricity and gas systems (IEGS). This paper develops a nonparametric probabilistic forecasting based stochastic scheduling approach of IEGS. The quantile at a series...

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Bibliographic Details
Main Authors: Jinyu Chen, Dawei Chen
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-09-01
Series:Frontiers in Energy Research
Subjects:
probabilistic forecasting
stochastic
optimal scheduling
integrated electricity and gas systems
second-order core programming
direct quantile regression
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2023.1277115/full

Internet

https://www.frontiersin.org/articles/10.3389/fenrg.2023.1277115/full

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