This paper provides an overview of the support vector machine (SVM) methodology and its
applicability to real‐world engineering problems. Specifically, the aim of this study is to …

The current trend of electricity market deregulation ushers in increasingly dynamic electricity
pricing schemes. The cost-optimal scheduling of industrial loads with accurate price …

In order to improve the prediction accuracy of short-term wind speed, a short-term wind
speed prediction model based on artificial bee colony algorithm optimized error minimized …

High-precision wind power prediction is an important method to ensure the safety and
stability of wind power integration. However, because of the intermittent and uncontrollable …

Renewable energy is clean and effectively infinite. Wind is as sources of sustainable energy.
Accessing wind power, it can reduce electric cost for urban building. Wind power generates …

风力发电功率预测对于风能并网具有重要意义. 采用一种可用于复杂系统和模式建模的新型神经
网络——情感神经网络, 对风力发电功率进行预测. 为防止ENN 在训练时陷入局部最优解 …

Photovoltaic (PV) power prediction is an effective way to ensure the safe operation of the
grid connected photovoltaic power station, and the prediction accuracy is very important as …

Now existed methods of wind data preprocessing methods have bad influence on data
authenticity because of “valuable isolated points” filtered out. Actually, these valuable …

Este documento tiene como objetivo presentar un marco unificado para discutir, resumir y
organizar los principales avances en pronóstico de velocidad de viento para generación …

Precise wind power output predictions is of great importance for a successful integration of
wind power into the power grid and market operations. A popular approach to short-term …