Public institutions' investments with data mining techniques

摘要: Developing Decision Support Systems in public institutions such as the National Power Grid Companies require applying very efficient methods order to support decisions. The decision system can integrate energy prediction achieved by some data mining algorithms that help managers fundament their investment decisions justify financial feasibility. This is done estimating all benefits and costs during life cycle. In estimate revenues, we need know with certain accuracy output of these power plants. Due fact wind speed significantly fluctuates even a day at same location, difficult be forecasted statistical methods. this paper apply techniques on available measured weather predict determine feasibility investment.