Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory

Hybrid Decision Support Framework for Energy Scheduling Using Stochastic Optimization and Cooperative Game Theory

This study introduces a multi-criteria decision-making (MCDM) framework for optimizing multi-energy network scheduling (MENS). As energy systems become more complex, the need for adaptable solutions that balance consumer demand with environmental sustainability grows. The proposed approach integrate...

Full description

Saved in:
Bibliographic Details
Main Authors: Peng Liu, Tieyan Zhang, Furui Tian, Yun Teng, Miaodong Yang
Format: Article
Language:English
Published: MDPI AG 2024-12-01
Series:Energies
Subjects:
decision support framework
energy optimization
hybrid scheduling
stochastic optimization
cooperative game theory
energy resource management
Online Access:https://www.mdpi.com/1996-1073/17/24/6386
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items