Energy demand prediction using GMDH networks

@article{Srinivasan2008EnergyDP,
  title={Energy demand prediction using GMDH networks},
  author={Dipti Srinivasan},
  journal={Neurocomputing},
  year={2008},
  volume={72},
  pages={625-629}
}
The electric power industry is in transition as it moves towards a competitive and deregulated environment. In this emerging market, traditional electric utilities as well as energy traders, power pools and independent system operators (ISOs) need the capability to predict as precisely as possible how much energy their customers will use in the near future. This paper presents a medium-term energy demand forecasting system that helps utilities identify and forecast energy demand for each of the… CONTINUE READING

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