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Energies 2017, 10(9), 1378;

User-Aware Electricity Price Optimization for the Competitive Market

Department of Computer Science and Engineering, University of Bologna, Viale Risorgimento 2, 40126 Bologna, Italy
This paper is an extended version of our paper published in the 13th International Conference on Integration of Artificial Intelligence and Operations Research Techniques in Constraint Programming, Banff, AB, Canada, 29 May–1 June 2016. It contains additional parts and experiments, and introduces a new deterministic version of the previously presented model and a real world case study.
Author to whom correspondence should be addressed.
Received: 18 July 2017 / Revised: 25 August 2017 / Accepted: 25 August 2017 / Published: 11 September 2017
(This article belongs to the Special Issue Energy Market Transitions)
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Demand response mechanisms and load control in the electricity market represent an important area of research at the international level: the trend towards competition and market liberalization has led to the development of methodologies and tools to support energy providers. Demand side management helps energy suppliers to reduce the peak demand and remodel load profiles. This work is intended to support energy suppliers and policy makers in developing strategies to act on the behavior of energy consumers, with the aim to make a more efficient use of energy. We develop a non-linear optimization model for the dynamics of the electricity market, which can be used to obtain tariff recommendations or for setting the goals of a sensibilization campaign. The model comes in two variants: a stochastic version, designed for residential electricity consumption, and a deterministic version, suitable for large electricity users (e.g., public buildings, industrial users). We have tested our model on data from the Italian energy market and performed an extensive analysis of different scenarios. We also tested the optimization model in a real setting in the context of the FP7 DAREED project (, where the model has been employed to provide tariff recommendations or to help the identification of goals for local policies. View Full-Text
Keywords: electricity tariff optimization; business model definition; customer behavior modeling electricity tariff optimization; business model definition; customer behavior modeling

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De Filippo, A.; Lombardi, M.; Milano, M. User-Aware Electricity Price Optimization for the Competitive Market. Energies 2017, 10, 1378.

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