A neural network based several-hour-ahead electric load forecasting using similar days approach

@inproceedings{Mandal2006ANN,
  title={A neural network based several-hour-ahead electric load forecasting using similar days approach},
  author={Paras Mandal and Tomonobu Senjyu and Naomitsu Urasaki and Toshihisa Funabashi},
  year={2006}
}
This paper presents a practical method for short-term load forecast problem using artificial neural network (ANN) combined similar days approach. Neural networks applied in traditional prediction methods all use similar days data to learn the trend of similarity. However, learning all similar days data is a complex task, and does not suit the training of neural network. A Euclidean norm with weighted factors is used to evaluate the similarity between the forecast day and searched previous days… CONTINUE READING
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