Wind power, as a renewable energy resource, has taken much attention of the energy
authorities in many countries, as it is used as one of the major energy sources to satisfy the …

This paper presents the development of wind power prediction models for a wind farm in Sri
Lanka using an artificial neural network (ANN), multiple linear regression (MLR), and power …

In this paper, three main steps allowing the definition of the sustainability of a wind power
plant (WPP) are described in detail. The first step is to choose a site with a good wind …

This paper presents the development of a wind power forecasting model based on gene
expression programming (GEP) for one of the major wind farms in Sri Lanka, Pawan Danavi …

Hydro power is the major renewable energy contributor to the national grid in Sri Lanka
amounting to 48% of the total installed capacity. Further expansion of hydropower however …

In the current paper, the wind potential of a relatively flat area in central Peloponnese in
Greece has been studied. The chosen region was selected based on environmental criteria …

North Western coastal area of Sri Lanka is identified as a region with substantial wind power
potential. Favorable geographical location and the terrain conditions have effected for …

According to the present energy scenario in Sri Lanka, out of whole electricity generation
65% is generated by fossil fuel and it is a large fraction of the total imports. In this situation …

The wind characteristics of Hambantota (6.15 N and 81.07 º E) have been assessed by
collecting continuous wind data using an automated weather station for a period of 12 …

Research Article Development of Wind Power Prediction Models for Pawan Danavi Wind Farm
in Sri Lanka Page 1 Research Article Development of Wind Power Prediction Models for Pawan …