ETHOS.PASSION: An open-source workflow for rooftop photovoltaic potential assessments from satellite imagery

Estimating the spatial distribution of solar photovoltaic power generation potential on different types of rural rooftops using a deep learning network applied to satellite images

(2022) Tao Sun et al.   APPLIED ENERGY

RID—Roof Information Dataset for Computer Vision-Based Photovoltaic Potential Assessment

(2022) Sebastian Krapf et al.   Remote Sensing

Exploring trade-offs between landscape impact, land use and resource quality for onshore variable renewable energy: an application to Great Britain

(2022) R. McKenna et al.   ENERGY

An estimation framework of regional rooftop photovoltaic potential based on satellite remote sensing images

(2022) Boyu Chen et al.   Global Energy Interconnection

Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis

(2022) Simiao Ren et al.   APPLIED ENERGY

Assessment of the solar energy potential of rooftops using LiDAR datasets and GIS based approach

(2022) Vancho ADJİSKİ et al.   International Journal of Engineering and Geosciences

Assessing OSM building completeness for almost 13,000 cities globally

(2022) Qi Zhou et al.   International Journal of Digital Earth

A city-scale estimation of rooftop solar photovoltaic potential based on deep learning

(2021) Teng Zhong et al.   APPLIED ENERGY

Towards Scalable Economic Photovoltaic Potential Analysis Using Aerial Images and Deep Learning

(2021) Sebastian Krapf et al.   Energies

High-resolution large-scale onshore wind energy assessments: A review of potential definitions, methodologies and future research needs

(2021) Russell McKenna et al.   RENEWABLE ENERGY

The ERA5 Global Reanalysis

(2020) Hans Hersbach et al.   QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY

Worldwide validation of 8 satellite-derived and reanalysis solar radiation products: A preliminary evaluation and overall metrics for hourly data over 27 years

(2020) Dazhi Yang et al.   SOLAR ENERGY

On the socio-technical potential for onshore wind in Europe: A response to Enevoldsen et al. (2019), Energy Policy, 132, 1092-1100

(2020) R. McKenna et al.   ENERGY POLICY

Building Extraction of Aerial Images by a Global and Multi-Scale Encoder-Decoder Network

(2020) Jingjing Ma et al.   Remote Sensing

The future of European onshore wind energy potential: Detailed distribution and simulation of advanced turbine designs

(2019) David Severin Ryberg et al.   ENERGY

A high-resolution geospatial assessment of the rooftop solar photovoltaic potential in the European Union

(2019) Katalin Bódis et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Estimation of satellite-derived regional photovoltaic power generation using a satellite-estimated solar radiation data

(2018) Hideaki Ohtake et al.   Energy Science & Engineering

An Approach for Estimating Solar Photovoltaic Potential Based on Rooftop Retrieval from Remote Sensing Images

(2018) Xiaoyang Song et al.   Energies

Rooftop solar photovoltaic potential in cities: how scalable are assessment approaches?

(2017) Sergio Castellanos et al.   Environmental Research Letters

The Modern-Era Retrospective Analysis for Research and Applications, Version 2 (MERRA-2)

(2017) Ronald Gelaro et al.   JOURNAL OF CLIMATE

Assessment of rooftop photovoltaic potentials at the urban level using publicly available geodata and image recognition techniques

(2017) Kai Mainzer et al.   SOLAR ENERGY

The FAIR Guiding Principles for scientific data management and stewardship

(2016) Mark D. Wilkinson et al.   Scientific Data

A review of the solar city concept and methods to assess rooftop solar electric potential, with an illustrative application to the city of Seoul

(2015) John Byrne et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A high-resolution determination of the technical potential for residential-roof-mounted photovoltaic systems in Germany

(2014) Kai Mainzer et al.   SOLAR ENERGY

A method for predicting city-wide electricity gains from photovoltaic panels based on LiDAR and GIS data combined with hourly Daysim simulations

(2013) J. Alstan Jakubiec et al.   SOLAR ENERGY