Computational platform for household simulation and emulation to test and validate energy management methodologies

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Abstract

The integration of microgrids brings advantages for the end-prosumers as well for the grid energy management. Small and medium players became able to actively participate in microgrids. However, is needed a study and the appearance of methodologies that can efficiently integrate these players. The use of load optimization inside households is common in scientific researches. This paper proposes a Java library that can simulate a household using a combination between real and simulated loads. The library also enables the execution of optimization algorithms, to be tested and validated. The paper will present a small demonstration of the library capabilities.

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APA

Gomes, L., & Vale, Z. (2017). Computational platform for household simulation and emulation to test and validate energy management methodologies. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10349 LNCS, pp. 321–324). Springer Verlag. https://doi.org/10.1007/978-3-319-59930-4_29

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