[HTML][HTML] GIScience can facilitate the development of solar cities for energy transition

R Zhu, MP Kwan, ATD Perera, H Fan, B Yang… - Advances in Applied …, 2023 - Elsevier
The energy transition is increasingly being discussed and implemented to cope with the
growing environmental crisis. However, great challenges remain for effectively harvesting …

Empirical models for estimating monthly global solar radiation: A most comprehensive review and comparative case study in China

JL Chen, L He, H Yang, M Ma, Q Chen, SJ Wu… - … and Sustainable Energy …, 2019 - Elsevier
Global solar radiation is a core component of scientific research and engineering application
across a broad spectrum. However, its measurement is limited by a small number of stations …

Deep learning neural networks trained with MODIS satellite-derived predictors for long-term global solar radiation prediction

S Ghimire, RC Deo, N Raj, J Mi - Energies, 2019 - mdpi.com
Solar energy predictive models designed to emulate the long-term (eg, monthly) global solar
radiation (GSR) trained with satellite-derived predictors can be employed as decision tenets …

Self-adaptive differential evolutionary extreme learning machines for long-term solar radiation prediction with remotely-sensed MODIS satellite and Reanalysis …

S Ghimire, RC Deo, NJ Downs, N Raj - Remote Sensing of Environment, 2018 - Elsevier
Designing predictive models of global solar radiation can be an effective renewable energy
feasibility studies approach to resolve future problems associated with the supply, reliability …

Comparative optimization of global solar radiation forecasting using machine learning and time series models

B Belmahdi, M Louzazni, A El Bouardi - Environmental Science and …, 2022 - Springer
The increasing use of solar energy as a source of renewable energy has led to increasing
the interest in photovoltaic (PV) power outputs forecasting. In the meantime, forecasting …

Climate-specific and global validation of MODIS Aqua and Terra aerosol optical depth at 452 AERONET stations

JM Bright, CA Gueymard - Solar Energy, 2019 - Elsevier
Aerosol optical depth (AOD) is a highly influential variable in solar resource assessment and
clear-sky radiation modelling. Hence, the accuracy of solar energy estimates ultimately …

Spatial and temporal variability of grassland yield and its response to climate change and anthropogenic activities on the Tibetan Plateau from 1988 to 2013

H Zhang, J Fan, J Wang, W Cao, W Harris - Ecological Indicators, 2018 - Elsevier
Accurate and periodic assessment of grassland yield (GY) is of great importance for the
management of high altitude plateau grasslands. The Tibetan Plateau (TP) is a very …

Estimating half-hourly solar radiation over the Continental United States using GOES-16 data with iterative random forest

J Chen, W Zhu, Q Yu - Renewable Energy, 2021 - Elsevier
To reduce carbon emissions, using more solar energy is a feasible solution. Many
meteorological-based models can estimate global downward solar radiation (DSR), but they …

Climatological study of the Boundary-layer air Stagnation Index for China and its relationship with air pollution

Q Huang, X Cai, J Wang, Y Song… - … Chemistry and Physics, 2018 - acp.copernicus.org
The Air Stagnation Index (ASI) is a vital meteorological measure of the atmosphere's ability
to dilute air pollutants. The original metric adopted by the US National Climatic Data Center …

Estimation of global solar radiation data based on satellite-derived atmospheric parameters over the urban area of Mashhad, Iran

S Bamehr, S Sabetghadam - Environmental Science and Pollution …, 2021 - Springer
Global solar radiation is the total amount of solar energy received on a horizontal surface
and defined as the sum of direct, diffused, and reflected solar radiation. Global solar …