Title :
A hybrid short-term solar power forecasting tool
Author :
J.M. Filipe;R.J. Bessa;J. Sumaili;R. Tomé;J.N. Sousa
Author_Institution :
Center for Power and Energy Systems, INESC TEC, Porto, Portugal
Abstract :
Photovoltaic (PV) solar power capacity is growing in several countries, either concentrated in medium/large size solar parks or distributed by the medium and low voltage grid. Solar power forecasting is a key input for supporting grid management, participation in the electricity market and maintenance planning. This paper proposes a new forecasting system that is a hybrid of different models, such as electrical and statistical models, as well as different Numerical Weather Prediction (NWP) sources. The time horizon is 48 hours ahead. The proposed model was operationalized and tested in a real PV installation located in North Portugal with 16 kW.
Keywords :
"Predictive models","Forecasting","Weather forecasting","Lead","Numerical models","Optimization","Biological system modeling"
Conference_Titel :
Intelligent System Application to Power Systems (ISAP), 2015 18th International Conference on
DOI :
10.1109/ISAP.2015.7325543