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The recent interest in the smart grid vision and the technological advancement in the communication and control infrastructure enable several smart applications at different levels of the power grid structure, while specific importance is given to the demand side. As a result, changes in load patterns due to demand response (DR) activities at end-user premises, such as smart households, constitute...
This paper discusses the half an hour ahead electric load forecasting, using a Neural network algorithm having a mathematical, statistical background. Due to restructuring, of the electricity markets, forecasting the system demand, has become even more important, in order to make an appropriate market decision. A number of Short Term Load Forecasting tools have been recently developed using nonlinear...
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