Modelling state spaces and discrete control using MILP: computational cost considerations for demand response

Magalhães, P. and Antunes, C. (2020) Modelling state spaces and discrete control using MILP: computational cost considerations for demand response. EAI Endorsed Transactions on Energy Web.

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Abstract

INTRODUCTION: Demand response (DR) has been proposed as a mechanism to induce electricity cost reductions and is typically assumed to require the adoption of time-differentiated electricity prices. Making the most of these requires using automated energy management systems to produce optimised DR pl

Item Type: Article
Date Deposited: 04 Mar 2026 14:30
Last Modified: 11 Apr 2026 19:36
URI: http://eprints.eai.eu/id/eprint/35111

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