Solar power forecasting using artificial neural networks

@article{Abuella2015SolarPF,
  title={Solar power forecasting using artificial neural networks},
  author={Mohamed Abuella and Badrul H. Chowdhury},
  journal={2015 North American Power Symposium (NAPS)},
  year={2015},
  pages={1-5}
}
In recent years, the rapid boost of variable energy generations particularly from wind and solar energy resources in the power grid has led to these generations becoming a noteworthy source of uncertainty with load behavior still being the main source of variability. Generation and load balance is required in the economic scheduling of the generating units and in electricity market trades. Energy forecasting can be used to mitigate some of the challenges that arise from the uncertainty in the… CONTINUE READING

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