Offshore wind speed forecasting by SVM and power integration through HVDC light

Offshore wind farms have great potential as large-scale sustainable energy sources for electrical power generation in India as 7200kM coast line is available. This paper presents fundamental aspects of offshore wind energy, its characteristics and benefits and also presents a means of forecasting wind speed using a novel optimization tool Support Vector Machine (SVM). The tool is used to calculate the mean hourly wind speed forecasting and cross validation of the same by training the model. Around three-year data for Mumbai (India) coastal area is considered for analysis of regression process and results are presented. Further the main challenge of power transfer has been addressed by considering HVDC light as a viable solution.