Deep learning based long-term global solar irradiance and temperature forecasting using time series with multi-step multivariate output
Solar radiation's intermittent and fluctuating nature poses severe limitations for most
applications. Accurate prediction of solar radiation is an essential factor in predicting the …
applications. Accurate prediction of solar radiation is an essential factor in predicting the …
Hybrid models for global solar radiation prediction: a case study
This paper presents a comparison between different prediction models for solar radiation
application. The present study assessed the performance of multi-layer perceptron (MLP) as …
application. The present study assessed the performance of multi-layer perceptron (MLP) as …
Intelligence techniques in sustainable energy: analysis of a decade of advances
In the last decade, many artificial intelligence (AI) techniques have been used to solve
various problems in sustainable energy (SE). Consequently, an increasing volume of …
various problems in sustainable energy (SE). Consequently, an increasing volume of …
Estimation of the daily global solar radiation based on the Gaussian process regression methodology in the Saharan climate
Accurate estimation of solar radiation is the major concern in renewable energy
applications. Over the past few years, a lot of machine learning paradigms have been …
applications. Over the past few years, a lot of machine learning paradigms have been …
Impact of training data size on the LSTM performances for rainfall–runoff modeling
For predicting catchment runoff with data-driven methods, a long historical database of
measurements is required. The current study focuses on the assessment of a deep learning …
measurements is required. The current study focuses on the assessment of a deep learning …
Support vector regression methodology for estimating global solar radiation in Algeria
Accurate estimation of Daily Global Solar Radiation (DGSR) has been a major goal for solar
energy applications. In this paper we show the possibility of developing a simple model …
energy applications. In this paper we show the possibility of developing a simple model …
Multi-step-ahead forecasting of daily solar radiation components in the Saharan climate
R Khelifi, M Guermoui, A Rabehi… - International Journal of …, 2020 - Taylor & Francis
Accurate estimation of renewable energy sources plays an important role in their integration
into the grid. An unexpected atmospheric change can produce a range of problems related …
into the grid. An unexpected atmospheric change can produce a range of problems related …
Soft computing for solar radiation potential assessment in Algeria
M Guermoui, A Rabehi - International Journal of Ambient Energy, 2020 - Taylor & Francis
Precise estimation of solar radiation is a highly required parameter for the design and
assessment of solar energy applications. Over the past years, many machine learning …
assessment of solar energy applications. Over the past years, many machine learning …
On the use of BRL model for daily and hourly solar radiation components assessment in a semiarid climate
Solar radiation components assessment is a highly required activity for solar energy
applications. Despite their importance, diffuse and direct solar radiation components are not …
applications. Despite their importance, diffuse and direct solar radiation components are not …
Decomposing global solar radiation into its diffuse and direct normal radiation
A Rabehi, M Guermoui, R Khelifi… - International Journal of …, 2020 - Taylor & Francis
This work presents a model based on Radial Basis Function (RBF) to estimate the diffused
solar radiation (DSR) and direct normal radiation (DNR) fractions of solar radiation from …
solar radiation (DSR) and direct normal radiation (DNR) fractions of solar radiation from …