A Proposal for Customer Baseline Load Evaluation from Electricity Bills

One of the most cost-effective solutions to address power systems' issues due to the increasing penetration of distributed generation from unpredictable renewable energy sources is the implementation of Demand Response programs. New information technologies such as blockchain enable the secure and transparent aggregation of prosumers to provide Demand Response services without the need for an aggregator. In this context, the Blorin project aims to create a blockchain platform for the deployment of renewable energy and the provision of energy services, facilitating the aggregation of domestic endusers for participation in the Demand Response market. In order for end-user response to be quantified, it is necessary to identify a Customer Baseline Load, which represents the reference consumption of each customer participating in the program and the reference to design the economic compensation mechanism. Calculating an accurate baseline requires a measurement campaign, but this means waiting several days before the customer is able to participate in a Demand Response event. In this paper, a method based on the use of a reference load profile and electricity bills data is proposed to calculate the preliminary baseline of customers participating in the Blorin platform.