Helios: Introducing a Project for Forecasting Photovoltaic Yields using a Small Network of All-Sky Imagers and Meteorological Sensors

The Helios project aims to improve the accuracy of solar radiation forecasting, which is crucial for integrating fluctuating power sources like solar power into electrical grids. This manuscript provides a comprehensive overview of the project, details the installed measurement devices on a ground-mounted PV system, and presents initial results on calibrating three All-Sky Imagers. Additionally, it discusses the integration of monitoring data and the application of image recognition for cloud detection and movement.

Metadaten
Author:	Andreas Boschert ORCID, Alexander Kruse ORCID, Grit Behrens ORCID, Mike Zehner ORCID, Martin Heigl
DOI:	https://doi.org/10.18420/env2024_01
Parent Title (English):	EnviroInfo 2024
Title Additional (German):	Helios: Vorstellung eines Projekts zur Prognose von PV-Erträgen mit einem kleinen Netzwerk aus All-Sky Imagern und meteorologischen Sensoren
Publisher:	Gesellschaft für Informatik e.V.
Place of publication:	Bonn
Editor:	Gesellschaft für Informatik e.V.
Document Type:	conferencepaper
Language:	English
Publication Year:	2025
Contributing Corporation:	Hochschule Bielefeld
Conference:	EnviroInfo 2024 (Cairo)
Release Date:	2025/03/26
Tag:	All-Sky Imager; Nowcasting; Solar Forecasting
Volume:	2024
Page Number:	10
First Page:	17
Last Page:	26
Project Title:	Predictive Spatial Analytics for Solar Energy Grid Integration: Enhancing Reliability and Efficiency
Acronym:	HELIOS
Funding Agency:	Deutsche Bundesstiftung Umwelt
Grant Number:	39213/01

Open Access