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作者:Valerio Lo Brano , Giuseppina Ciulla ...
来源:[J].International Journal of Photoenergy(IF 2.663), 2014, Vol.2014
摘要:The paper illustrates an adaptive approach based on different topologies of artificial neural networks (ANNs) for the power energy output forecasting of photovoltaic (PV) modules. The analysis of the PV module’s power output needed detailed local climate data, which was coll...
作者:Valerio Lo Brano , Edoardo Moreci
来源:[J].International Journal of Photoenergy(IF 2.663), 2013, Vol.2013
摘要:The need to reduce energy consumptions and to optimize the processes of energy production has pushed the technology towards the implementation of hybrid systems for combined production of electric and thermal energies. In particular, recent researches look with interest at the in...
作者:Valerio Lo Brano , Vincenzo Franzitta ...
来源:[J].International Journal of Photoenergy(IF 2.663), 2014, Vol.2014
摘要:Determining the operating temperature T c of photovoltaic panels P V is important in evaluating the actual performance of these systems. In the literature, different correlations exist, in either explicit or implicit forms, which often do not account for the electrical behaviour ...
作者:... Tumkur Ramakrishnarao Anil , Rajakumar Dyamenally Gowdar , Valerio Lo Brano
来源:[J].Journal of Renewable Energy, 2016, Vol.2016
摘要:With maturity of advanced technologies and urgent requirement for maintaining a healthy environment with reasonable price, India is moving towards a trend of generating electricity from renewable resources. Wind energy production, with its relatively safer and positive environmen...
作者:... Dimitrios K. Fytanidis , Johannes V. Soulis , Valerio Lo Brano
来源:[J].Modelling and Simulation in Engineering, 2016, Vol.2016
摘要:Reducing the wind loading of photovoltaic structures is crucial for their structural stability. In this study, two solar panel arrayed sets were numerically tested for load reduction purposes. All panel surface areas of the arrayed set are exposed to the wind similarly. The ...

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