[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 …

Comparison of PV power production estimation methods under non-homogeneous temperature distribution for CPVT systems

C Demircan, M Vicidomini, F Calise… - … for Renewable Energy …, 2023 - Springer
The way to increase energy generation in a standard photovoltaic (PV) or
photovoltaic/thermal (PV/T) system is the tracking of the sun and/or concentrating to increase …

Artificial bee colony optimization–based enhancement of output power generation in grid-connected photovoltaic systems

S Dziri, S Bouallègue… - Transactions of the …, 2025 - journals.sagepub.com
The integration of photovoltaic systems to utility grids becomes a durable alternative for
power generation in many countries. Given the recent advances in artificial intelligence, the …

Determination of moisture content and contaminated blank dried figs (Ficus carica L.) using dielectric property and artificial neural network

M Shojaeyan, A Banakar, TT Hashjin… - Agrosystems …, 2023 - Wiley Online Library
Dried figs are a garden produce that must be graded after harvesting. Moisture levels and
contaminated blank are two of the most critical effective elements on the marketability of …

Fire-induced changes in the dielectric constant of lichens in plateau palsas of the Nadym-Pur interfluve

TD Kochetkova, UY Shavrina, VS Murashkin… - Acta Biologica …, 2023 - journal.asu.ru
The paper analyzed the complex permittivity of lichens of the genus Cladonia sampled from
areas disturbed by fire and from undisturbed plateau palsas in the Nadym-Pur interfluve …

Comparative Performance Analysis of a Grid-Connected Photovoltaic Plant in Central Greece after Several Years of Operation Using Neural Networks

E Roumpakias, T Stamatelos - Sustainability, 2023 - mdpi.com
The increasing installed volume of grid-connected PV systems in modern electricity
networks induces variability and uncertainty factors which must be addressed from several …

Türkiye Hurda Demir Çelik İthalatının Gelecek Değerlerinin Derin Öğrenme, Makine Öğrenmesi ve Topluluk Öğrenme Yöntemleri ile Öngörülmesi

YE Gür, KA Eşidir - Alanya Akademik Bakış, 2024 - dergipark.org.tr
Bu çalışma, Türkiye'nin hurda demir çelik ithalatını tahmin etmek için LSTM, MLP, Random
Forest, SVM, XGBoost ve Doğrusal Regresyon modellerini kapsamlı bir şekilde …