Probabilistic-based electricity demand forecasting with hybrid convolutional neural network-extreme learning machine model

S Ghimire, RC Deo, D Casillas-Pérez… - … Applications of Artificial …, 2024 - Elsevier
Implementing key engineering solutions to optimise the operation of energy industries
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 Xia - Atmospheric Environment, 2022 - Elsevier
This contribution compares the influences of atmospheric reanalysis, in particular, the
Modern-Era Retrospective Analysis for Research and Applications, version 2 (MERRA-2) …

[HTML][HTML] Probabilistic approach for site-adaptation and economic performance estimation of a photovoltaic project in South Korea

EF Dhata, CK Kim, HG Kim - Energy Strategy Reviews, 2024 - Elsevier
Site-adaptation corrects long-term satellite-derived solar irradiance datasets, which improve
solar power system modeling by reducing the risks in performance estimation. This study …

Site adaptation of global horizontal irradiance from the Copernicus Atmospheric Monitoring Service for radiation using supervised machine learning techniques

V Salamalikis, P Tzoumanikas, AA Argiriou… - Renewable Energy, 2022 - Elsevier
Satellite and reanalysis-derived solar products have gained great attention due to the
inadequate number of radiometric stations worldwide, however, they are associated with …

Towards the development of an optimized Decision Support System for the PV industry: A comprehensive statistical and economical assessment of over 35,000 O&M …

S Lindig, S Gallmetzer, M Herz… - Progress in …, 2023 - Wiley Online Library
Due to the overall declining costs of photovoltaic systems, market players in the operation
and maintenance sector are under increasing price pressure when offering their services …

Discontinuity in the production rate due to the solar resource intermittency

JM Vindel, E Trincado - Journal of Cleaner Production, 2021 - Elsevier
The economic risk of solar plant projects due to the inter-annual solar resource variability is
usually quantified by the exceedance probabilities. The estimation of these probabilities …

Site-adaptation for correcting satellite-derived Solar Irradiance: Performance comparison between various regressive and distribution mapping techniques for …

EF Dhata, CK Kim, HG Kim, B Kim, M Oh - Energies, 2022 - mdpi.com
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 …

[HTML][HTML] Site adaptation with machine learning for a Northern Europe gridded global solar irradiance product

S Zainali, D Yang, T Landelius, PE Campana - Energy and AI, 2024 - Elsevier
Gridded global horizontal irradiance (GHI) databases are fundamental for analysing solar
energy applications' technical and economic aspects, particularly photovoltaic applications …

Accurate solar radiation site adaptation: Harnessing satellite data and in situ measurements

JF Ruiz-Munoz, LS Hoyos-Gómez - Journal of Renewable and …, 2024 - pubs.aip.org
Accurate solar radiation data are essential to optimize solar energy systems and assess
their feasibility. In this study, we propose a site-adaptation procedure based on a machine …

An optimized approach for mapping 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 …