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OpenAlex konusu

Solar Radiation and Photovoltaics

Bu sayfa OpenAlex konu etiketine göre çalışmaları ve o konuda görünen akademisyenleri listeler. YÖKSİS temel alan / yan dal değildir.

OpenAlex 3.107 eser 226 yazar konusu

Çalışmalar

3.107 eser

  1. Design and Performance Assessment of Photovoltaic Building Envelopes for a Prototype Office Building in the Mediterranean 2026

    In recent years, with the depletion of energy resources, studies on the use of renewable and clean energy sources have increased rapidly. The use of renewable energy sources is particularly prominent in the construction sector, which has a high energy consumption. This study examines the energy performance of Building…

  2. Explainable hourly global solar radiation forecasting using a CNN–BiLSTM model with temperature scaled softmax attention 2026

    Accurate global solar radiation (GSR) forecasting is vital for smart grids and resilient energy systems. However, the nonlinear and non-stationary nature of meteorological drivers challenges conventional approaches. This study proposes a lightweight, explainable hybrid deep learning architecture, CNN-BiLSTM-STAM, whic…

  3. PMGT-Net: A physics-informed multi-scale graph transformer framework for explainable national energy dependency forecasting 2026

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  4. A Novel Hybrid VMD-TCN-BiGRU Model for Solar Irradiation Prediction Using Long-Term Monthly Meteorological Data 2026

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  5. Machine Learning-Driven Rapid Optimization of Solar Power Plant Sizing Using HOMER-Generated Synthetic Scenarios 2026

    Solar power plants are among the most widely used renewable energy sources today. Varying radiation levels from region to region, and similarly varying consumption depending on the user within a given region, make the optimal sizing of these plants challenging. In this study, a machine learning-based surrogate model f…

  6. A hybrid q-rung orthopair fuzzy AHP-TOPSIS method for assessing hydrogen production potential: The case study from Türkiye 2026

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  7. Solar Irradiance Prediction Based on Satellite Image Data in Different Regions: A Deep Learning–Based Approach 2026

    ABSTRACT Solar irradiance is considered a fundamental parameter for photovoltaic systems. Stations established worldwide to measure solar irradiance are limited in terms of coverage. Therefore, many solar irradiance prediction models and techniques are being developed to obtain solar irradiance data. The influence of…

  8. Intelligent Hybrid Forecasting of Photovoltaic Power using LSTM and XGBoost: Seasonal and Comparative Insights 2026

    Accurate forecasting of photovoltaic (PV) power generation is essential for the reliability and cost-effectiveness of renewable-based power systems to be maintained. This study provides a comprehensive comparison of several statistical and machine learning approaches, including SARIMA, SVR, k-NN, RF, XGBoost, and LSTM…

  9. Intelligent Hybrid Forecasting of Photovoltaic Power using LSTM and XGBoost: Seasonal and Comparative Insights 2026

    Accurate forecasting of photovoltaic (PV) power generation is essential for the reliability and cost-effectiveness of renewable-based power systems to be maintained. This study provides a comprehensive comparison of several statistical and machine learning approaches, including SARIMA, SVR, k-NN, RF, XGBoost, and LSTM…

  10. Techno-Economic Approach for the Analysis of Uniform Horizontal Shading on Photovoltaic Modules: A Comparative Study of Five Solar Sites in Mauritania 2026

    Photovoltaic (PV) performance in desert environments is significantly hindered by soiling and partial shading. To bridge the gap in empirical data for extreme Saharan conditions, this study presents a novel techno-economic assessment of uniform horizontal shading (UHS) specifically conducted in Mauritania. Controlled…

  11. Hybrid Deep Learning Models for Solar Energy Production Forecasting: Explainable Artificial Intelligence Approach 2026

    The production performance of photovoltaic systems depends not only on historical data but also directly on complex environmental dynamics such as temperature, solar radiation, wind, and cloud cover. In this study, a unique dataset was created by integrating production records from the Yulara Solar system in Australia…

  12. Derin Öğrenme Tabanlı LSTM Modeli Kullanarak Çok Ufuklu Güneş Radyasyonu Tahmini 2026

    Bu çalışmada, günlük küresel güneş radyasyonunu tahmin etmek için çok ufuklu bir zaman serisi tahmin yaklaşımı geliştirilmiştir. Veri seti günlük frekansa göre hizalanmıştır ve eksik gözlemler, zamana dayalı enterpolasyon ve yılın gününe (DOY) dayalı mevsimsellik duyarlı istatistikleri birleştiren iki aşamalı bir atam…

Akademisyenler

226 akademisyen