Artificial neural networks for photovoltaic power forecasting: a review of five promising models

R Asghar, FR Fulginei, M Quercio, A Mahrouch - IEEE Access, 2024 - ieeexplore.ieee.org
Solar energy is largely dependent on weather conditions, resulting in unpredictable,
fluctuating, and unstable photovoltaic (PV) power outputs. Thus, accurate PV power …

[HTML][HTML] The environmental factors affecting solar photovoltaic output

O Bamisile, C Acen, D Cai, Q Huang, I Staffell - Renewable and Sustainable …, 2025 - Elsevier
The global expansion of solar photovoltaics (PV) is central to the global energy transition. As
governments aim to triple renewable energy capacity by 2030, solar PV is poised for rapid …

[HTML][HTML] Operational day-ahead solar power forecasting for aggregated PV systems with a varying spatial distribution

L Visser, T AlSkaif, W van Sark - Renewable Energy, 2022 - Elsevier
Accurate forecasts of the power production of distributed photovoltaic (PV) systems are
essential to support grid operation and enable a high PV penetration rate in the electricity …

[HTML][HTML] Changes in solar resource intermittency and reliability under Australia's future warmer climate

S Poddar, M Kay, A Prasad, JP Evans, S Bremner - Solar Energy, 2023 - Elsevier
The dependency of photovoltaic (PV) power generation on meteorological parameters can
impact power production due to weather-induced variability. During the day, fluctuations in …

[HTML][HTML] Neighbourhood-level spatial determinants of residential solar photovoltaic adoption in the Netherlands

J Zhang, D Ballas, X Liu - Renewable Energy, 2023 - Elsevier
This paper examines the neighbourhood-level spatial determinants of residential solar
photovoltaic (PV) adoption in the Netherlands. We investigate the roles of place-specificities …

Exergy and thermoeconomic analysis of a novel polygeneration system based on gasification and power-to-x strategy

L Cimmino, JB Burgos, U Eicker - Renewable Energy, 2024 - Elsevier
This study introduces a novel polygeneration system that integrates biomass gasification,
anaerobic digestion, photovoltaic (PV) energy, and electrolysis to enhance system flexibility …

[HTML][HTML] Regulation strategies for mitigating voltage fluctuations induced by photovoltaic solar systems in an urban low voltage grid

LR Visser, EMB Schuurmans, TA AlSkaif… - International Journal of …, 2022 - Elsevier
Transient clouds cause rapid changes in the power output of Photovoltaic (PV) solar
systems. These ramp rates may lead to power quality problems, such as voltage fluctuations …

The Benefits and Challenges of Downscaling a Global Reanalysis With Doubly‐Periodic Large‐Eddy Simulations

BJH van Stratum, CC van Heerwaarden… - Journal of Advances …, 2023 - Wiley Online Library
Global reanalyzes like ERA5 accurately capture atmospheric processes at spatial scales of
km or larger. By downscaling ERA5 with large‐eddy simulation (LES), LES can provide …

[HTML][HTML] CAELUS: classification of sky conditions from 1-min time series of global solar irradiance using variability indices and dynamic thresholds

JA Ruiz-Arias, CA Gueymard - Solar Energy, 2023 - Elsevier
Precise sky classification as a function of cloudiness is desirable or necessary in a variety of
applications. CAELUS, a novel classification algorithm that relies on various thresholds to …

Smart override of the energy matrix in commercial microalgae facilities: a transition path to a low-carbon bioeconomy

RR Dias, MC Deprá, IA Severo, LQ Zepka… - Sustainable Energy …, 2022 - Elsevier
The sustainability and economic viability of the microalgae-based processes and products
remain questionable by requiring high fossil energy demands. Therefore, herein, we seek to …