Solar irradiance prediction with variable time lengths and multi-parameters in full climate conditions based on photovoltaic greenhouse
Y Zhu, M Li, X Ma, Y Wang, G Li, Y Zhang, Y Liu… - Energy Conversion and …, 2024 - Elsevier
Photovoltaic power generation can provide energy for greenhouses and achieve high
quality and high yield of crops. In reality, solar irradiance is fluctuating and intermittent. Thus …
quality and high yield of crops. In reality, solar irradiance is fluctuating and intermittent. Thus …
[HTML][HTML] Deep learning hybrid models with multivariate variational mode decomposition for estimating daily solar radiation
Solar energy is one of the renewable and clean energy sources. Accurate solar radiation
(SR) estimates are therefore needed in solar energy applications. Firstly, two deep learning …
(SR) estimates are therefore needed in solar energy applications. Firstly, two deep learning …
Proactively selection of input variables based on information gain factors for deep learning models in short-term solar irradiance forecasting
Y Chen, M Bai, Y Zhang, J Liu, D Yu - Energy, 2023 - Elsevier
As the proportion of solar power generation increases, accurate solar irradiance forecast
used to connect solar power to the grid has become crucial. Multi-parameter prediction is …
used to connect solar power to the grid has become crucial. Multi-parameter prediction is …
[HTML][HTML] Short-Medium-Term Solar Irradiance Forecasting with a CEEMDAN-CNN-ATT-LSTM Hybrid Model Using Meteorological Data
M Camacho, J Maldonado-Correa, J Torres-Cabrera… - Applied Sciences, 2025 - mdpi.com
In recent years, the adverse effects of climate change have increased rapidly worldwide,
driving countries to transition to clean energy sources such as solar and wind. However …
driving countries to transition to clean energy sources such as solar and wind. However …
Neuromorphic Computing-Based Model for Short-Term Forecasting of Global Horizontal Irradiance In Saudi Arabia
To tackle environmental and increasing energy demand issues, different energy transition
options have been investigated. Solar power has vast resources and is environment …
options have been investigated. Solar power has vast resources and is environment …
Harnessing AI for solar energy: Emergence of transformer models
This review emphasizes the critical need for accurate integration of solar energy into power
grids. It meticulously examines the advancements in transformer models for solar …
grids. It meticulously examines the advancements in transformer models for solar …
Predicting photovoltaic greenhouse irradiance at low-latitudes of plateau based on ultra-short-term time series
Y Zhu, G Li, Y Jiang, M Li, Y Wang, Y Zhang, Y Liu… - Renewable Energy, 2025 - Elsevier
Accurate and reliable ultra-short-term prediction of solar irradiance in photovoltaic (PV)
greenhouses at low-latitude plateau is essential to precisely control electricity consumption …
greenhouses at low-latitude plateau is essential to precisely control electricity consumption …
Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
D El-Shahat, A Tolba, M Abouhawwash… - Journal of Big Data, 2024 - Springer
Abstract In late 2023, the United Nations conference on climate change (COP28), which was
held in Dubai, encouraged a quick move from fossil fuels to renewable energy. Solar energy …
held in Dubai, encouraged a quick move from fossil fuels to renewable energy. Solar energy …