An Ensemble Forecasting Technique for Photovoltaic Power Generation

TL;DR

This paper proposes an ensemble forecasting method combining multiple techniques to improve the accuracy of photovoltaic power generation predictions, addressing the intermittency challenge of renewable energy sources.

Contribution

It introduces a novel ensemble forecasting approach for photovoltaic power that outperforms individual methods using GEFCom2014 meteorological data.

Findings

Ensemble method improves forecast accuracy over individual techniques.

The approach effectively captures the variability of photovoltaic power.

Results demonstrate enhanced reliability in renewable energy planning.

Abstract

To cater the rapidly growing demand for electricity leading to the integration of renewable energy sources in power system. Due to intermittent nature of renewables, it also brings challenges for research community during the planning and operation stage in power system. Therefore it is primary necessity of the community to develop an accurate forecasting technique to solve the intermittency problem. In this report, A forecasting technique is proposed based on ensemble of state of the art forecasting techniques. For performance comparison among the techniques, GEFCom2014 meteorological data are used to predict the photovoltaic power, and the obtained results are included in this report.