Verification of Demand Response: the customer baseline load in small/medium customers
- Antonio Gabaldon 1
- Ana Garcia-Garre 1
- Ramon Ruiz-Molina 2
- Carlos Alvarez 3
- Maria Carmen Ruiz-Abellón 1
- Luis Alfredo Fernandez-Jimenez 4
- Antonio Guillamon 1
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1
Universidad Politécnica de Cartagena
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- 2 MIWenergia, Murcia, Spain
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3
Universidad Politécnica de Valencia
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4
Universidad de La Rioja
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- Bertoldi, Paolo (coord.)
Publisher: Publications Office of the European Union
ISBN: 978-92-76-99908-9
Year of publication: 2023
Pages: 478-495
Type: Conference paper
Abstract
The development of Demand Response (DR) is a basic step to achieve an increase of the flexibility in PowerSystems, in the short and medium, term to balance the volatility of the new generation mix foreseen in thehorizon 2020. At the same time, it is necessary to deploy tools to evaluate the performance of DR policies toobtain precise economic feedback for all the actors. This should increase the engagement of new resourcesfrom the demand-side. The verification of DR involves a right estimation of the customers’ steady-state loadwithout control: the customer baseline load (CBL). The aim of this paper is to compare the accuracy of thetraditional and simple methods based on historical data to calculate CBLs with a specific Neural Networkbased method and, with both methods test the significance of adjustment coefficients in the increase of theaccuracy or results. To develop this proposal, a demand database from a SME customer in the south east ofSpain is analysed. Results show that it is possible to improve the performance of CBLs without increasingtheir complexity, which enables the removal of some technical barriers of more complex baseline approaches
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