A data-driven framework for predicting solar rooftop adoption in Germany based on open-source data

A data-driven framework for predicting solar rooftop adoption in Germany based on open-source data

Abstract The rapid growth of photovoltaic (PV) installation poses a major challenge for the energy transition in Germany. A key concern is that the increasing number of PV systems can create overloads in the low voltage grid, particularly in areas with high concentrations of installations. To better...

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Bibliographic Details
Main Authors: Kaan Duran, Antonello Monti
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:Energy Informatics
Subjects:
Machine Learning
Recommendation System
Open-Source
Green Technology Adoption
Photovoltaic Systems
Photovoltaic Potential Analysis
Online Access:https://doi.org/10.1186/s42162-025-00562-0
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https://doi.org/10.1186/s42162-025-00562-0

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