An artificial intelligence-based solar radiation prophesy model for green energy utilization in energy management system
Solar energy's probabilistic and changeable nature raises serious challenges about
ensuring dependable, cheap, and secure control of power energy networks through the …
ensuring dependable, cheap, and secure control of power energy networks through the …
Taxonomy research of artificial intelligence for deterministic solar power forecasting
With the world-wide deployment of solar energy for a sustainable and renewable future, the
stochastic and volatile nature of solar power pose significant challenges to the reliable …
stochastic and volatile nature of solar power pose significant challenges to the reliable …
Deep learning models for solar irradiance forecasting: A comprehensive review
P Kumari, D Toshniwal - Journal of Cleaner Production, 2021 - Elsevier
The growing human population in this modern society hugely depends on the energy to
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …
fulfill their day-to-day needs and activities. Renewable energy sources, especially solar …
A review on neural network based models for short term solar irradiance forecasting
The accuracy of solar energy forecasting is critical for power system planning, management,
and operation in the global electric energy grid. Therefore, it is crucial to ensure a constant …
and operation in the global electric energy grid. Therefore, it is crucial to ensure a constant …
Solar radiation forecasting using artificial neural networks considering feature selection
R Nematirad, A Pahwa - 2022 IEEE Kansas Power and Energy …, 2022 - ieeexplore.ieee.org
Due to various factors, including worries about greenhouse gas emissions, supporting
government policies, and decreased equipment costs, the expansion of solar-based energy …
government policies, and decreased equipment costs, the expansion of solar-based energy …
Solar power generation prediction based on deep learning
R Chang, L Bai, CH Hsu - Sustainable energy technologies and …, 2021 - Elsevier
Recently, the fraction of the grid energy generated by renewables is significantly increased
by smart grid initiatives. In General, power generation is irregular and uncontrollable while …
by smart grid initiatives. In General, power generation is irregular and uncontrollable while …
Solar radiation prediction based on convolution neural network and long short-term memory
T Zhu, Y Guo, Z Li, C Wang - Energies, 2021 - mdpi.com
Photovoltaic power generation is highly valued and has developed rapidly throughout the
world. However, the fluctuation of solar irradiance affects the stability of the photovoltaic …
world. However, the fluctuation of solar irradiance affects the stability of the photovoltaic …
Solar radiation forecasting with multiple parameters neural networks
Neural networks with a good modeling capability have been used increasingly to predict
and forecast solar radiation. Even diverse application of neural network has been reported …
and forecast solar radiation. Even diverse application of neural network has been reported …
The artificial neural network for solar radiation prediction and designing solar systems: a systematic literature review
Solar energy generated by sunlight has a non-schedulable nature due to the stochastic
environment of meteorological conditions. Hence, power system control and the energy …
environment of meteorological conditions. Hence, power system control and the energy …
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 …