Explainable AI and optimized solar power generation
This paper proposes a model called X-LSTM-EO, which integrates explainable artificial intelligence (XAI), long short-term memory (LSTM), and equilibrium optimizer (EO) to reliably forecast solar power
Influence of light and its temperature on solar photovoltaic panels
temperature has a great influence on the power generation efficiency, the solar panel is cooled while ensuring the maximum efficiency of the solar panel to ensure that it operates in an
Solar photovoltaic panel soiling accumulation and removal
Where η 1 is the power generation efficiency of the PV panel at a temperature of T cell 1, τ 1 is the combined transmittance of the PV glass and surface soiling, and τ clean 1 is
Optimal solar panel tilt angle calculation and simulation in
efficiency [4]. The implementation of Optimal Solar Panel Tilt Angle in various country has been implemented by some researchers for China, Pakistan, and also United Arab Emirates such
Recent Advances of Wind-Solar Hybrid Renewable
A hybrid renewable energy source (HRES) consists of two or more renewable energy sources, suchas wind turbines and photovoltaic systems, utilized together to provide increased system efficiency
Optimal Tilt Angle Determination for PV Panels Using Real Time
1 Introduction. Solar energy is inexhaustible and one of the cleanest renewable sources of energy. The solar power in the form of irradiance trapped by the earth is ≈1.8 × 10
Explainable AI and optimized solar power generation forecasting
This algorithm was successful in identifying the most important features that affected solar power generation, including weather conditions, time of day, and solar panel tilt
Investigation of the Dust Scaling Behaviour on Solar Photovoltaic Panels
DOI: 10.1016/J.JCLEPRO.2021.126391 Corpus ID: 233555224; Investigation of the Dust Scaling Behaviour on Solar Photovoltaic Panels @article{Liu2021InvestigationOT, title={Investigation
The characteristic analysis of the solar energy photovoltaic power
The characteristic analysis of the solar energy photovoltaic power generation system B Liu1, K Li1, D D Niu2,3, Y A Jin2 and Y Liu2 1Jilin Province Electric Research Institute Co. LTD,