[HTML][HTML] Renewables integration into power systems through intelligent techniques: Implementation procedures, key features, and performance evaluation
Integrating renewable energy sources (RESs) such as solar photovoltaic (PV), wind, biogas,
and hydropower into the power system is a sustainable solution that can feasibly maintain …
and hydropower into the power system is a sustainable solution that can feasibly maintain …
Prediction and application of solar radiation with soft computing over traditional and conventional approach–A comprehensive review
Solar radiation data plays a crucial role in solar energy research and application. It provides
the vital information about the energy that strikes the earth and is highly useful for modeling …
the vital information about the energy that strikes the earth and is highly useful for modeling …
[HTML][HTML] Short-term PV power forecasting using variational mode decomposition integrated with Ant colony optimization and neural network
S Netsanet, D Zheng, W Zhang, G Teshager - Energy Reports, 2022 - Elsevier
Abstract In this paper, Artificial Neural Network (ANN) is integrated with data processing,
input variable selection, and external optimization techniques to forecast the day ahead …
input variable selection, and external optimization techniques to forecast the day ahead …
Ensemble approach of optimized artificial neural networks for solar photovoltaic power prediction
The use of data-driven ensemble approaches for the prediction of the solar Photovoltaic
(PV) power production is promising due to their capability of handling the intermittent nature …
(PV) power production is promising due to their capability of handling the intermittent nature …
Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance
This paper aims to enhance the power production performance of the PV/T based on three
cooling models using nanofluid, SiC-water and nano-PCM. The effect of solar irradiance and …
cooling models using nanofluid, SiC-water and nano-PCM. The effect of solar irradiance and …
Novel applications of various neural network models for prediction of photovoltaic system power under outdoor condition of mountainous region
The geography and landscape of mountainous locations are frequently varied, which
causes uneven solar radiation exposure in different places which leads to photovoltaic (PV) …
causes uneven solar radiation exposure in different places which leads to photovoltaic (PV) …
A hybrid method for forecasting the energy output of photovoltaic systems
P Ramsami, V Oree - Energy Conversion and Management, 2015 - Elsevier
The intermittent nature of solar energy poses many challenges to renewable energy system
operators in terms of operational planning and scheduling. Predicting the output of …
operators in terms of operational planning and scheduling. Predicting the output of …
[HTML][HTML] A comparison study based on artificial neural network for assessing PV/T solar energy production
This paper aims to employ and perform a comparison study of PV/T energy data prediction
systems using different ANNs techniques. Several studies focus on photovoltaic thermal …
systems using different ANNs techniques. Several studies focus on photovoltaic thermal …
[HTML][HTML] Comparison of three machine learning models for the prediction of hourly PV output power in Saudi Arabia
AA Mas' ud - Ain Shams Engineering Journal, 2022 - Elsevier
The optimum integration of photovoltaic (PV) technologies into existing power systems
necessitates accurate PV performance planning, which is critical for both plant operators …
necessitates accurate PV performance planning, which is critical for both plant operators …
Experimental and deep learning artificial neural network approach for evaluating grid‐connected photovoltaic systems
Summary This article evaluates a 1.4‐kW building integrated grid‐connected photovoltaic
plant. The PV plant was installed in the Faculty of Engineering solar energy lab, Sohar …
plant. The PV plant was installed in the Faculty of Engineering solar energy lab, Sohar …