A review on global solar radiation prediction with machine learning models in a comprehensive perspective
Y Zhou, Y Liu, D Wang, X Liu, Y Wang - Energy Conversion and …, 2021 - Elsevier
Global solar radiation information is the basis for many solar energy utilizations as well as
for economic and environmental considerations. However, because solar-radiation …
for economic and environmental considerations. However, because solar-radiation …
Stacked LSTM sequence-to-sequence autoencoder with feature selection for daily solar radiation prediction: A review and new modeling results
We review the latest modeling techniques and propose new hybrid SAELSTM framework
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
based on Deep Learning (DL) to construct prediction intervals for daily Global Solar …
A novel machine learning approach for solar radiation estimation
Solar irradiation (Rs) is the electromagnetic radiation energy emitted by the Sun. It plays a
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
crucial role in sustaining life on Earth by providing light, heat, and energy. Furthermore, it …
A comprehensive review and analysis of solar forecasting techniques
In the last two decades, renewable energy has been paid immeasurable attention to toward
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
the attainment of electricity requirements for domestic, industrial, and agriculture sectors …
Spatial forecasting of solar radiation using ARIMA model
This paper is an attempt to forecast monthly solar radiation using remote sensing data on a
region. Seasonal ARIMA (SARIMA) models are used for simulating and forecasting time …
region. Seasonal ARIMA (SARIMA) models are used for simulating and forecasting time …
Solar irradiance forecasting using dynamic ensemble selection
DS de O. Santos Jr, PSG de Mattos Neto… - Applied Sciences, 2022 - mdpi.com
Solar irradiance forecasting has been an essential topic in renewable energy generation.
Forecasting is an important task because it can improve the planning and operation of …
Forecasting is an important task because it can improve the planning and operation of …
Comprehensive assessment, review, and comparison of AI models for solar irradiance prediction based on different time/estimation intervals
Solar energy-based technologies have developed rapidly in recent years, however, the
inability to appropriately estimate solar energy resources is still a major drawback for these …
inability to appropriately estimate solar energy resources is still a major drawback for these …
Week-ahead hourly solar irradiation forecasting method based on ICEEMDAN and TimesNet networks
Long-term solar irradiance prediction can be more effective to plan and manage solar power
systems. Existing methods have demonstrated the effectiveness of decomposing time series …
systems. Existing methods have demonstrated the effectiveness of decomposing time series …
[HTML][HTML] A systematic review of machine learning applications in the operation of smart distribution systems
Due to climate changes happening in the past few years, the necessity for the integration of
renewable energy sources and other low-carbon technologies is ever-growing. With the …
renewable energy sources and other low-carbon technologies is ever-growing. With the …
Day-ahead hourly solar irradiance forecasting based on multi-attributed spatio-temporal graph convolutional network
Solar irradiance forecasting is fundamental and essential for commercializing solar energy
generation by overcoming output variability. Accurate forecasting depends on historical …
generation by overcoming output variability. Accurate forecasting depends on historical …