1. Decision-Making Tree Analysis for Industrial Load Classification in Demand Response Programs.
- Author
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Dehghan-Dehnavi, Somayeh, Fotuhi-Firuzabad, Mahmud, Moeini-Aghtaie, Moein, Dehghanian, Payman, and Wang, Fei
- Subjects
ANALYTIC hierarchy process ,DECISION trees ,DECISION making ,MANUFACTURING processes ,CLASSIFICATION - Abstract
Industrial loads play an important role in the success of demand response programs (DRPs). However, these programs may compromise the consumers' convenience, which can overshadow their real-world practicality. In response, this article provides a two-level decision-making tree approach to effectively determine the participation abilities of different industrial processes in DRPs considering various features and abilities of these customers. The level I of this framework introduces several classifying variables by which a basic criterion is extracted to classify different industrial processes applying the analytic hierarchy process (AHP). A participation factor is then introduced in level II of the suggested decision tree to estimate the participation level of different classes attained in level I. Finally, a desirability coefficient is formulated, offering the system operators an efficient indicator to verify the attractiveness of different incentive-based programs in the viewpoint of industrial customers. Implementing the presented framework on industrial customers of a region in Iran, it is shown that applying this method lends the decision-makers a hand in practically and effectively introducing DRPs for industrial customers. [ABSTRACT FROM AUTHOR]
- Published
- 2021
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