Machine Learning for Wind Energy

Istanbul Technical University | Turkey

Muhammet Ali Taskin | Oguzhan Kurtuluş

Our project is to forecast wind power generation values by using most suitable machine learning algorithm which is called support vector regression (SVR). It serves on cloud-based application in order to be achievable from all around the world and easily adaptable to current IT solutions of energy companies. Our project has also superior advantages as having low implementation cost, and enabling companies to advance their company strategies according to triple bottom line (environment, economy and society) of sustainability.