Abstract
Distributed energy production is a trend nowadays in order to reduce the dependence of fossil-based energy sources and the impact of projects like thermoelectrical and hydroelectrical power plants. In addition, distributed energy generators in the side of consumers can reduce the energy fee paid by them to power distribution companies. However, different approaches of decision-making to use (or not) the energy produced by distributed generators can reduce more or less the energy fee. This paper presents a fuzzy system to make decision about when and how much energy will be used by consumers from a photovoltaic generator in a scenario where the generator has a coupled storage energy system and the price of energy sold by distribution company has different values along the day. The proposal uses real datasets for production and energy consumption. The approach is also compared to a non-fuzzy system representing the common way as this technology is currently deployed in real world scenarios. The comparison shows the proposed approach reduces in general 10% the amount of energy fee for the consumer when compared with the common deployed way.
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Sousa, M., Saraiva, F. (2019). A Fuzzy System Applied to Photovoltaic Generator Management Aimed to Reduce Electricity Bill. In: Moura Oliveira, P., Novais, P., Reis, L. (eds) Progress in Artificial Intelligence. EPIA 2019. Lecture Notes in Computer Science(), vol 11804. Springer, Cham. https://doi.org/10.1007/978-3-030-30241-2_38
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DOI: https://doi.org/10.1007/978-3-030-30241-2_38
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