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A novel hybrid model for solar radiation forecasting using support vector machine and bee colony optimization algorithm: review and case study
This article proposes a new hybrid least squares-support vector machine and artificial bee
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
colony algorithm (ABC-LS-SVM) for multi-hour ahead forecasting of global solar radiation …
A novel learning approach for short-term photovoltaic power forecasting-a review and case studies
Integrating photovoltaic power into the power system can offer significant economic and
environmental benefits. However, the intermittent and random nature of photovoltaic power …
environmental benefits. However, the intermittent and random nature of photovoltaic power …
Efficient daily solar radiation prediction with deep learning 4-phase convolutional neural network, dual stage stacked regression and support vector machine CNN …
Optimal utilisation of the sun's freely available energy to generate electricity requires efficient
predictive models of global solar radiation (GSR). These are necessary to provide solar …
predictive models of global solar radiation (GSR). These are necessary to provide solar …
Short‐Term PV Power Forecasting Using a Hybrid TVF‐EMD‐ELM Strategy
This paper discusses the efficient implementation of a new hybrid approach to forecasting
short‐term PV power production for four different PV plants in Algeria. The developed model …
short‐term PV power production for four different PV plants in Algeria. The developed model …
[HTML][HTML] Revving up energy autonomy: A forecast-driven framework for reducing reverse power flow in microgrids
Reverse power flow, defined as the continuous flow of electricity in a direction opposite to
the normal direction of the power flow in a grid, typically occurs in microgrids when the …
the normal direction of the power flow in a grid, typically occurs in microgrids when the …
Potential assessment of the TVF-EMD algorithm in forecasting hourly global solar radiation: Review and case studies
Accurate and effective forecasting of short-term global solar radiation is critical for the
development of photovoltaic systems, particularly for integration into existing grid systems …
development of photovoltaic systems, particularly for integration into existing grid systems …
[HTML][HTML] Methodology for predicting the PV module temperature based on actual and estimated weather data
In this work, five different models reported in the literature for estimating the PV module
temperature were compared and evaluated. Seven cases have been proposed; the latter …
temperature were compared and evaluated. Seven cases have been proposed; the latter …
Calibration and validation of global horizontal irradiance clear sky models against McClear clear sky model in Morocco
This study calibrated and compared the capabilities of hourly global horizontal irradiance
(GHI) clear sky models for six Moroccan locations, using the McClear clear sky model as a …
(GHI) clear sky models for six Moroccan locations, using the McClear clear sky model as a …
The performance assessment of six global horizontal irradiance clear sky models in six climatological regions in South Africa
This study assesses the performance of six global horizontal irradiance (GHI) clear sky
models, namely: Bird, Simple Solis, McClear, Ineichen–Perez, Haurwitz and Berger–Duffie …
models, namely: Bird, Simple Solis, McClear, Ineichen–Perez, Haurwitz and Berger–Duffie …
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 …