Hybrid optimisation multi-energy demand response prediction model for economic emission dispatch solution-based hybrid optimisation

Nitin Goel and Naresh Kumar Yadav

International Journal of Industrial and Systems Engineering, 2025, vol. 51, issue 4, 413-434

Abstract: In this paper, a multi-energy demand response prediction model using an artificial neural network (ANN) and an economic emission dispatch (EDD) solution using a novel optimisation algorithm has been introduced. The trending problem relies on the demand prediction of RES, such as wind, solar, and the IEEE-30 bus system, which is assessed using the ANN classifier. The evaluated values are fed as input to the proposed optimisation algorithm known as the BE-Cro optimisation algorithm. Here, the optimisation variables are controlled to achieve the solution for the EED problem, to reduce the entire cost. The performance of the BE-Cro method is evaluated based on cost of economics, cost of emission, power loss, and total cost. The result depicts that the BE-Cro method is superior in performance when compared to other traditional methods. In future, the analysis will be carried out in IEEE-33 and IEEE-69 bus systems.

Keywords: economic emission dispatch; EDD; renewable energy sources; energy demand; IEEE bus; optimisation. (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisen:v:51:y:2025:i:4:p:413-434

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