19-07-2013, 02:26 PM
Hybrid Prediction Method for Solar Power Using Different Computational Intelligence Algorithms
Method for Solar Power.pptx (Size: 101.29 KB / Downloads: 15)
ABSTRACT
Computational Intelligence (CI) holds the key to the development of smart grid to overcome the challenges of planning and optimization through accurate prediction of Renewable Energy Sources (RES).
This research investigates the applicacitybil- of heterogeneous regression algorithms for 6 hour ahead solar power availability forecasting using historical data from Rockhampton, Australia. Real life solar radiation data is collected across six years with hourly resolution from 2005 to 2010.
Introduction
Since the power produced by a photovoltaic (PV) depends decisively on the unpredictability of the sun, unexpected variations of a PV output may increase operating costs for the electricity system as well as set potential threats to the reliability of electricity supply .