Photovoltaic (PV) power generation is highly sensitive to variations in solar irradiance and temperature, making reliable maximum power point tracking (MPPT) essential for maximizing energy extraction under dynamic operating conditions. In this study, we developed and systematically evaluated a hybrid artificial neur...
Mohammed Bouzidi, Abdelfatah Nasri, Nadjem Bailek et al.· Energy Exploration & Exp...· 0 citations
The positive outcomes confirm the proposed IoT model's efficacy, as it provides a fast, precise, cost-efficient, as well as energy-efficient model, facilitating hidden camera sensing.
Hamzah M. Marhoon, Noorulden Basil, Nidal Qasem et al.· Discover Computing· 0 citations
Photovoltaic (PV) power plants operating in desert environments experience continuous efficiency losses because dust accumulation gradually reduces solar radiation reaching the module surface, leading to lower energy production even under favourable weather conditions. Accurate prediction of normal operating behaviour...
Mohammed Bouzidi, Abdelfatah Nasri, N. Bailek et al.· Energy Exploration & Exp...· 0 citations
The progressive design framing yields an actionable architecture-selection rule for security operations centres: match architectural complexity to dataset heterogeneity rather than maximising it by default.
Sarmad K. Ibrahim, Walaa M. Khalaf, T. Agajie· Neural computing & applicati...· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.