Abstract
Most common of renewable energies sources which are available everywhere around the world are solar and wind energies. These sources are used to generate the electricity as an alternative clean power source. The electric power which is generated by these sources is sometimes available and in other times it is not available depending on the weather conditions. Thus, power control systems are needed to control the following: the power to users with good quality, the forecasting systems are consider as an important part of power control system. Since, the power quality parameters (PQPs) are forecasted successfully. These forecasted values can be used for correcting and optimization the quality of the power. In this study five power quality parameters (PQPs) forecasting models have been investigated in short-term using ANN and DT severally, and comparing their results to each other. The experiments were tested for six days for ANN and DT. The simulation results show that the performance of DT was better than ANN.
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Acknowledgments
This work was conducted in the framework of the project LO1404 TUCENET—Sustainable Development of Centre ENET, and the project CZ.1.05/2.1.00/19.0389. CZ.1.05/2.1.00/19.0389—Research Infrastructure Development of the CENET, Czech Science Foundation and student’s project SP2020/129.
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Jahan, I., Misak, S., Snasel, V. (2022). Power Quality Parameters Analysis in Off-Grid Platform. In: Kovalev, S., Tarassov, V., Snasel, V., Sukhanov, A. (eds) Proceedings of the Fifth International Scientific Conference “Intelligent Information Technologies for Industry” (IITI’21). IITI 2021. Lecture Notes in Networks and Systems, vol 330. Springer, Cham. https://doi.org/10.1007/978-3-030-87178-9_43
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DOI: https://doi.org/10.1007/978-3-030-87178-9_43
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