Short Term Wind Speed and Power Forecasting in Indian and UK Wind Power Farms

被引：0
|
作者：
Singh, Ankita [1 ]
Gurtej, K. [1 ]
Jain, Gourav [1 ]
Nayyar, Faraz [1 ]
Tripathi, M. M. [1 ]
机构：
[1] DTU, Delhi, India
来源：
2016 IEEE 7TH POWER INDIA INTERNATIONAL CONFERENCE (PIICON) | 2016年
关键词：
Artificial Neural Network; Regression; Mean absolute percentage error; Forecasting;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Wind power can be defined as the power produced by using wind as resource. This has a non-negligible impact which brings a lot of appreciable perks to the power supply and generation industry. An accurate forecast about the available wind energy production for the forthcoming hours is very crucial, so that exact planning and scheduling of the power generation from conventional units can be performed. The change in wind speed is based on the values of the metrological parameters which are variable in nature, such as humidity, temperature, atmospheric pressure, rainfall, moisture content etc. The values of these parameters/ variables can be obtained from the area weather stations. This paper presents two neural network models for forecasting wind speed and wind power on the data obtained from Indian agriculture and research institute (IARI), India and National renewable energy laboratory (NREL), UK The results indicate that these models are able to forecast wind power with great accuracy in Indian as well as UK wind power plant.
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页数：5
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