PV Forecasting Using Support Vector Machine Learning in a Big Data Analytics Context

@article{Preda2018PVFU,
  title={PV Forecasting Using Support Vector Machine Learning in a Big Data Analytics Context},
  author={S. Preda and S. Oprea and Adela B{\^a}ra and Anda Belciu},
  journal={Symmetry},
  year={2018},
  volume={10},
  pages={748}
}
Renewable energy systems (RES) are reliable by nature; the sun and wind are theoretically endless resources. From the beginnings of the power systems, the concern was to know “how much” energy will be generated. Initially, there were voltmeters and power meters; nowadays, there are much more advanced solar controllers, with small displays and built-in modules that handle big data. Usually, large photovoltaic (PV)-battery systems have sophisticated energy management strategies in order to… Expand
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