# Day-Ahead Hourly Forecasting of Power Generation from Photovoltaic Plants

## TL;DR

This paper compares simple and sophisticated forecasting methods for photovoltaic power generation across multiple plants and evaluates the influence of weather conditions and forecasts on prediction accuracy.

## Contribution

It provides a comprehensive comparison of forecasting methodologies and assesses weather impact, offering insights into improving PV power prediction accuracy.

## Key findings

- Sophisticated methods outperform simple ones in accuracy.
- Weather forecasts significantly influence PV power prediction.
- Methodology comparison across diverse PV plants enhances understanding.

## Abstract

The ability to accurately forecast power generation from renewable sources is nowadays recognised as a fundamental skill to improve the operation of power systems. Despite the general interest of the power community in this topic, it is not always simple to compare different forecasting methodologies, and infer the impact of single components in providing accurate predictions. In this paper we extensively compare simple forecasting methodologies with more sophisticated ones over 32 photovoltaic plants of different size and technology over a whole year. Also, we try to evaluate the impact of weather conditions and weather forecasts on the prediction of PV power generation.