Multi-scale solar radiation and photovoltaic power forecasting with machine learning algorithms in urban environment: A state-of-the-art review
J Tian, R Ooka, D Lee - Journal of Cleaner Production, 2023 - Elsevier
Solar energy has been rapidly utilized in urban environments owing to its significant
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …
potential to fulfill the energy demand. The precise forecasting of solar energy, including solar …
A state of art review on estimation of solar radiation with various models
Solar radiation is free, and very useful input for most sectors such as heat, health, tourism,
agriculture, and energy production, and it plays a critical role in the sustainability of …
agriculture, and energy production, and it plays a critical role in the sustainability of …
[HTML][HTML] Application of improved version of multi verse optimizer algorithm for modeling solar radiation
For better estimation of renewable environmental friendly and carbon-free energy resources,
precise prediction of solar energy is very essential. However, accurate prediction of solar …
precise prediction of solar energy is very essential. However, accurate prediction of solar …
Improving the accuracy of daily solar radiation prediction by climatic data using an efficient hybrid deep learning model: Long short-term memory (LSTM) network …
Accurate daily solar radiation prediction is a crucial task for the management and generation
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
of solar energy as one of the alternatives to fossil fuels. In this study, the prediction accuracy …
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 …
[HTML][HTML] Forecasting solar energy production: A comparative study of machine learning algorithms
The use of solar energy has been rapidly expanding as a clean and renewable energy
source, with the installation of photovoltaic panels on homes, businesses, and large-scale …
source, with the installation of photovoltaic panels on homes, businesses, and large-scale …
An enhanced monthly runoff time series prediction using extreme learning machine optimized by salp swarm algorithm based on time varying filtering based empirical …
Reliable runoff prediction plays a significant role in reservoir scheduling, water resources
management, and efficient utilization of water resources. To effectively enhance the …
management, and efficient utilization of water resources. To effectively enhance the …
Improving solar PV prediction performance with RF-CatBoost ensemble: a robust and complementary approach
R Banik, A Biswas - Renewable Energy Focus, 2023 - Elsevier
Although solar energy is renewable, environmental conditions can make it unpredictable,
which makes it difficult to maintain a consistent supply of electricity. Accurate solar forecast …
which makes it difficult to maintain a consistent supply of electricity. Accurate solar forecast …
[HTML][HTML] Optimization and analysis of bioenergy production using machine learning modeling: Multi-layer perceptron, Gaussian processes regression, K-nearest …
H Jin, YG Kim, Z Jin, AA Rushchitc, AS Al-Shati - Energy Reports, 2022 - Elsevier
Since fossil fuels are slowly depleting, bio and renewable energies are now given more
attention. The main purpose of this research is to investigate and optimize the influencing …
attention. The main purpose of this research is to investigate and optimize the influencing …
Solar flat plate collector's heat transfer enhancement using grooved tube configuration with alumina nanofluids: Prediction of outcomes through artificial neural …
L Chilambarasan, V Thangarasu, P Ramasamy - Energy, 2024 - Elsevier
Solar thermal systems are far more important than solar PV systems in residential and
commercial applications. Improving the efficiency of solar thermal technology is a major …
commercial applications. Improving the efficiency of solar thermal technology is a major …