Spatial projections of solar PV installations at subnational level: Accuracy testing of regression models

2020/03/31 by Jonas Müller, Jonas E. N. Müller, Evelina Trutnevyte · 1 voice · 2 citations
Computer Science · Environmental Science · Social Sciences · #Energy and Environment Impacts #Social Acceptance of Renewable Energy #Solar Radiation and Photovoltaics

paper · doi:10.1016/j.apenergy.2020.114747

openalex publication_date 2020/03/31 · crossref created 2020/03/31 · crossref issued 2020/05/01 · crossref published 2020/05/01 · crossref published-print 2020/05/01 · crossref deposited 2025/10/05 · openalex created_date 2025/10/10 · crossref indexed 2026/06/30 · openalex updated_date 2026/07/28

Citations

• NOTES ON CONTINUOUS STOCHASTIC PHENOMENA
• Spatial Weights Matrices
• Does cost optimization approximate the real-world energy transition?

Cited by

• Comparison of statistical and optimization models for projecting future PV installations at a sub-national scale
• Beyond Leaders and Laggards: A Typology of Renewable Energy Adoption Trajectories with Evidence from Off-Grid Communities

Discussions

• Merci. We agree that it is neither simple nor trivial. Indeed, it is important to look at the different factors that help or hinder the deployment of technologies. We started to investigate such in st [bsky, 0 points, 1 comments]