Estimating distribution of load change in response to demand management programs has been targeted in many researches, mostly based on economical and business sale-price models. In this paper a bottom-up analysis approach will be considered. As the first step consumer's decision making process has been approximated using mathematical modeling. In this step a novel optimization model for production scheduling will be introduced which takes into account different energy consumption states. In the second step a design of experiment (DOE) model will be developed base on different energy and production factors. In the third step, two new distributions will be introduced based on a variable selected in DOE analysis. The proposed distributions can be obtained based on significant variables and be utilized in market analysis and more specifically, in stochastic analysis.
['Mostafa G. Varzaneh', 'Rupy Sawhney', 'Hesam Shams', 'Ailin Asadinejad']
Distribution of load change in industrial demand: A DOE approach