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Short-Term Load Forecasting with Neural Network Ensembles: A Comparative Study [Application Notes]

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2 Author(s)
Matteo De Felice ; Enea, Italy. ; Xin Yao

Load Forecasting plays a critical role in the management, scheduling and dispatching operations in power systems, and it concerns the prediction of energy demand in different time spans. In future electric grids, to achieve a greater control and flexibility than in actual electric grids, a reliable forecasting of load demand could help to avoid dispatch problems given by unexpected loads, and give vital information to make decisions on energy generation and purchase, especially market-based dynamic pricing strategies. Furthermore, accurate prediction would have a significant impact on operation management, e.g. preventing overloading and allowing an efficient energy storage.

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IEEE Computational Intelligence Magazine  (Volume:6 ,  Issue: 3 )