Methods and attributes for customer-centric dynamic electricity tariff design: A review

• Published in: Renewable & sustainable energy reviews 2024-03, Vol.192, p.114228, Article 114228
• Main Authors: Rahman, Tasmeea, Othman, Mohammad Lutfi, Mohd Noor, Samsul Bahari, Binti Wan Ahmad, Wan Fatinhamamah, Sulaima, Mohamad Fani
• Format: Article
• Language: English
• Subjects: Customer engagement; Customer segmentation; Customer-centric; Demand forecasting; Demand response; Dynamic tariff; Energy management; Price forecasting
• ISSN: 1364-0321
• DOI: 10.1016/j.rser.2023.114228

Most of the developed and developing countries around the world are delving into the implementation of demand response (DR) strategies in demand side management (DSM) to meet the needs of their own power industry and customers. Some major segments of demand response strategies are, customer segmentation, demand/price forecasting to design customer-oriented dynamic tariff that influences the customer engagement in those strategies. One of the crucial factors that influence customer engagement in those strategies is the input variables or attributes selected to conduct precise customer segmentation, which leads to precise and more accurate demand/price forecasting to design customer-centric dynamic tariff. Most of the existing literature focused on either one of those segments but a collective review on all these segments, particularly focusing on the methods and market attributes, is yet to be conducted. This study reviews the recent existing literature on customer segmentation, demand/price forecasting, customer engagement strategies for dynamic tariff design in power industry to map out the appropriate methods for respective input attributes from the electricity market. For this purpose, the input attributes in the electricity market have been divided into six broad categories and for each attribute category, appropriate methods have been illustrated through a proposed framework based on existing literature. [Display omitted] •Market attributes influencing customer-centric dynamic tariff design processes.•Divide the attributes in six categories.•A framework to suggest appropriate methods for each attribute category.