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Wind power is expected to contribute significantly to the renewable energy targets owing to advancements in wind technologies, falling capital costs, abundance of free resource and commercial viability. However, it also brings into a lot of new challenges for the power network planning and operation. The predictability of wind power in managing load and generation balance is very important. If the...
A new hybrid technique using support vector machines (SVM) and artificial neural networks (ANN) to forecast the next dasia24psila hours load is proposed in this paper. The forecasted load for the next dasia24psila hours is obtained by using four modules consisting of the basic SVM, Peak and Valley ANN, averager and forecaster and adaptive combiner. These modules try to extract the various components...
The ability to accurately forecast load is vitally important for the electric industry in a deregulated economy. Load forecasting has many applications including energy purchasing and generation, load switching, contract evaluation, and infrastructure development. A large variety of methods have been developed for and applied to load forecasting. In this paper we examine various approaches to load...
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