Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model
Implementing key engineering solutions to optimise the operation of energy industries
requires daily electricity demand forecasting and including uncertainty, to promote markets …
requires daily electricity demand forecasting and including uncertainty, to promote markets …
Influences of atmospheric reanalysis on the accuracy of clear-sky irradiance estimates: Comparing MERRA-2 and CAMS
D Fu, M Liu, D Yang, H Che, X ** techniques for …
Satellite-derived solar irradiance is advantageous in solar resource assessment due to its
high spatiotemporal availability, but its discrepancies to ground-observed values remain an …
high spatiotemporal availability, but its discrepancies to ground-observed values remain an …
[HTML][HTML] Site adaptation with machine learning for a Northern Europe gridded global solar irradiance product
Gridded global horizontal irradiance (GHI) databases are fundamental for analysing solar
energy applications' technical and economic aspects, particularly photovoltaic applications …
energy applications' technical and economic aspects, particularly photovoltaic applications …
An optimized approach for map** solar irradiance in a mid-low latitude region based on a site-adaptation technique using Himawari-8 satellite imageries
JY Han, P Vohnicky - Renewable Energy, 2022 - Elsevier
Solar technologies play an important role in the renewable electric energy budget, so
accurate solar maps are a crucial point for finding a suitable place for solar panel …
accurate solar maps are a crucial point for finding a suitable place for solar panel …