Mathematical and neural network modeling for predicting and analyzing of nanofluid-nano PCM photovoltaic thermal systems performance

AHA Al-Waeli, HA Kazem, JH Yousif, MT Chaichan… - Renewable Energy, 2020 - Elsevier
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 …

[HTML][HTML] Intelligent solar photovoltaic power forecasting

KD Poti, RM Naidoo, NT Mbungu, RC Bansal - Energy Reports, 2023 - Elsevier
This paper presents a day-ahead forecasting method for photovoltaic (PV) power plants in
commercial sectors. The method is based on numerical weather prediction (NWP) models …

[HTML][HTML] A comparison study based on artificial neural network for assessing PV/T solar energy production

JH Yousif, HA Kazem, NN Alattar, II Elhassan - Case Studies in Thermal …, 2019 - Elsevier
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 …

On the use of indirect measurements in virtual sensors for renewable energies: A review

A Benabdesselam, Q Dollon, R Zemouri, F Pelletier… - Electronics, 2024 - mdpi.com
In the dynamic landscape of renewable energy, the primary goal continues to be the
enhancement of competitiveness through the implementation of cutting-edge technologies …

Mathematical and neural network models for predicting the electrical performance of a PV/T system

AHA Al‐Waeli, HA Kazem, JH Yousif… - … Journal of Energy …, 2019 - Wiley Online Library
There are many photovoltaic/thermal (PV/T) systems' designs that are used mainly to reduce
the temperature of the PV cell by using a thermal medium to cool the photovoltaic module. In …

[HTML][HTML] Performance evaluation of solar photovoltaic/thermal system performance: An experimental and artificial neural network approach

HA Kazem, MT Chaichan, HS Abd… - Case Studies in Thermal …, 2024 - Elsevier
A photovoltaic panel without cooling capabilities shows low efficiency and this efficiency
deteriorates further during peak periods. In contrast, a photovoltaic/thermal (PV/T) system …

Output power prediction of a photovoltaic module through artificial neural network

MA Khan, MA Khan, H Ali, B Ashraf, S Khan… - IEEE …, 2022 - ieeexplore.ieee.org
With the increase in energy demand, renewable energy has become a need of almost every
country. Solar Energy is an important constituent of it and contributes a large portion in it …

Optimal hybrid power dispatch through smart solar power forecasting and battery storage integration

KD Poti, RM Naidoo, NT Mbungu, RC Bansal - Journal of Energy Storage, 2024 - Elsevier
This study presents a strategy to optimize hybrid power system dispatch for commercial
sectors in South Africa while utilizing the day-ahead method to forecast solar photovoltaic …

Economic operation of utility-connected microgrids in a fast and flexible framework considering non-dispatchable energy sources

R Akbari, SZ Tajalli, A Kavousi-Fard, A Izadian - Energies, 2022 - mdpi.com
This paper introduces a modified consensus-based real-time optimization framework for
utility-connected and islanded microgrids scheduling in normal conditions and under …

Zero-Carbon Power-to-Hydrogen Integrated Residential System Over a Hybrid Cloud Framework

SAM Tajalli, SZ Tajalli… - … on Cloud Computing, 2023 - ieeexplore.ieee.org
The study pioneers in proposing a hybrid cloud-based framework for designing a totally
stand-alone, green residential house, stable over load variations and fluctuations of …