Solar Radiation Forecasting: A Systematic Meta-Review of Current Methods and Emerging Trends
Effective solar forecasting has become a critical topic in the scholarly literature in recent
years due to the rapid growth of photovoltaic energy production worldwide and the inherent …
years due to the rapid growth of photovoltaic energy production worldwide and the inherent …
A multi-model ensemble-based CMIP6 assessment of future solar radiation and PV potential under various climate warming scenarios
The ability of the hybrid evolutionary auto-regression integrated moving average (ARIMA)
with a transformed probabilistically optimized Gumbel (GP) model (ARIMA-GP) and …
with a transformed probabilistically optimized Gumbel (GP) model (ARIMA-GP) and …
Nine novel ensemble models for solar radiation forecasting in Indian cities based on VMD and DWT integration with the machine and deep learning algorithms
M Sivakumar, ST George, MSP Subathra… - Computers and …, 2023 - Elsevier
This paper focuses on integrating two popular signal processing techniques, ie, variational
mode decomposition (VMD) and discrete wavelet transform (DWT), with deep learning (DL) …
mode decomposition (VMD) and discrete wavelet transform (DWT), with deep learning (DL) …
Hybrid solar radiation forecasting model with temporal convolutional network using data decomposition and improved artificial ecosystem-based optimization …
Y Wang, C Zhang, Y Fu, L Suo, S Song, T Peng… - Energy, 2023 - Elsevier
Solar energy is highly economical and widespread in new energy applications, and
analyzing solar radiation information is an important part of solar photovoltaic power …
analyzing solar radiation information is an important part of solar photovoltaic power …
Monthly sodium adsorption ratio forecasting in rivers using a dual interpretable glass-box complementary intelligent system: hybridization of ensemble TVF-EMD-VMD …
The sodium adsorption ratio (SAR) is the most crucial irrigation water quality indicator to
diagnose the suitability of agricultural water resources. Due to this reason, accurate …
diagnose the suitability of agricultural water resources. Due to this reason, accurate …
Deep learning model for short-term photovoltaic power forecasting based on variational mode decomposition and similar day clustering
M Li, W Wang, Y He, Q Wang - Computers and Electrical Engineering, 2024 - Elsevier
Short-term photovoltaic power forecasting (PVPF) is crucial in the scheduling and
functioning of contemporary electrical systems. A short-term PVPF model based on …
functioning of contemporary electrical systems. A short-term PVPF model based on …
An analysis of case studies for advancing photovoltaic power forecasting through multi-scale fusion techniques
Integration renewable energy sources into current power generation systems necessitates
accurate forecasting to optimize and preserve supply–demand restrictions in the electrical …
accurate forecasting to optimize and preserve supply–demand restrictions in the electrical …
Enhancing direct Normal solar Irradiation forecasting for heliostat field applications through a novel hybrid model
This study addresses the critical need for precise Direct Normal Irradiation forecasting in
concentrating solar power systems to enhance performance and manage power generation …
concentrating solar power systems to enhance performance and manage power generation …
[HTML][HTML] An hourly solar radiation prediction model using eXtreme gradient boosting algorithm with the effect of fog-haze
Hourly global solar radiation data is an important factor for solar energy utilization. Due to
the lack of solar radiation observation stations in many areas, some hourly solar radiation …
the lack of solar radiation observation stations in many areas, some hourly solar radiation …
Hourly solar irradiance forecasting based on statistical methods and a stochastic modeling approach for residual error compensation
A Nikseresht, H Amindavar - Stochastic Environmental Research and Risk …, 2023 - Springer
By reducing fossil fuel use, renewable energy improves the economy, quality of life, and
environment. These impacts make renewable energy forecasting crucial for lowering fossil …
environment. These impacts make renewable energy forecasting crucial for lowering fossil …