Metaheuristic algorithms for solar radiation prediction: A systematic analysis
SA Pérez-Rodríguez, JM Álvarez-Alvarado… - IEEE …, 2024 - ieeexplore.ieee.org
In the contemporary world, where the escalating demand for energy and the imperative for
sustainable sources, notably solar energy, have taken precedence, the investigation into …
sustainable sources, notably solar energy, have taken precedence, the investigation into …
A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine …
Reliable and precise estimation of solar energy as one of the green, clean, renewable and
inexhaustible types of energies can play a vital role in energy management, especially in …
inexhaustible types of energies can play a vital role in energy management, especially in …
Prediction of electric vehicle battery state of health estimation using a hybrid deep learning mechanism
A Kant, M Kumar, S Sihag - International Journal of Green Energy, 2025 - Taylor & Francis
Lithium-ion batteries (LIBs) are widely employed, but fluctuations in temperature,
overcharging, and overdischarging reduce their service lifetime. Battery health issues such …
overcharging, and overdischarging reduce their service lifetime. Battery health issues such …
Solar irradiation forecast enhancement using clustering based CNN-BiLSTM-attention hybrid architecture with PSO
M Chiranjeevi, A Madyastha, AK Maurya… - … Journal of Ambient …, 2024 - Taylor & Francis
Accurate solar irradiation forecasting is essential for optimising solar energy use. This paper
presents a novel forecasting approach: the 'Clustering-based CNN-BiLSTM-Attention Hybrid …
presents a novel forecasting approach: the 'Clustering-based CNN-BiLSTM-Attention Hybrid …
[PDF][PDF] A New Insight for Daily Solar Radiation Prediction by Meteorological Data Using an Advanced Artificial Intelligence Algorithm: Deep Extreme Learning Machine …
Reliable and precise estimation of solar energy as one of the green, clean, renewable and
inexhaustible types of energies can play a vital role in energy management, especially in …
inexhaustible types of energies can play a vital role in energy management, especially in …
Short Term Solar Radiation Forecasting Using Machine Learning Models for Sparse Data
N Dedhiya, V Parmar, S Jogunuri… - 2024 IEEE International …, 2024 - ieeexplore.ieee.org
This study investigates machine learning model's efficacy in forecasting seasonal solar
radiation for energy management and renewable integration. Utilizing various …
radiation for energy management and renewable integration. Utilizing various …