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EEM 2017 Forecast Competition: Wind power generation prediction using autoregressive models
Dimoulkas, Ilias; Mazidi, Peyman; Herre, Lars FinnEnergy forecasting provides essential contribution to integrate renewable energy sources into power systems. Today,renewable energy from wind power is one of the fastest growing means of power generation. As wind power ... -
EEM 2017 Forecast Competition: Wind power generation prediction using autoregressive models
Dimoulkas, Ilias; Mazidi, Peyman; Herre, Lars Finn (Technische Universität Dresden (Dresde, Alemania), 2017-06-06)Energy forecasting provides essential contribution to integrate renewable energy sources into power systems. Today,renewable energy from wind power is one of the fastest growing means of power generation. As wind power ...