Site selection of floating photovoltaic systems on hydropower reservoirs using fuzzy sine trigonometric decision-making model: Turkey as a case study
E Haspolat, DD Cicek, S Gokmener, AB Melek… - … and Sustainable Energy …, 2024 - Elsevier
Floating photovoltaic systems are a promising option for renewable energy by mitigating the
drawbacks of land-based photovoltaic systems. However, renewable energy systems are …
drawbacks of land-based photovoltaic systems. However, renewable energy systems are …
A survey of deep learning techniques: application in wind and solar energy resources
Nowadays, learning-based modeling system is adopted to establish an accurate prediction
model for renewable energy resources. Computational Intelligence (CI) methods have …
model for renewable energy resources. Computational Intelligence (CI) methods have …
Prediction and comparison of solar radiation using improved empirical models and Adaptive Neuro-Fuzzy Inference Systems
Solar radiation plays an important role in climate change, energy balance and energy
applications. In this work, an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is proposed …
applications. In this work, an Adaptive Neuro-Fuzzy Inference Systems (ANFIS) is proposed …
A comparative study of estimating solar radiation using machine learning approaches: DL, SMGRT, and ANFIS
Solar energy has a key role in producing clean and emissions-free power compare to
conventional methods. However, sustainable development also requires a reliable and …
conventional methods. However, sustainable development also requires a reliable and …
New horizontal global solar radiation estimation models for Turkey based on robust coplot supported genetic programming technique
H Demirhan, YK Atilgan - Energy Conversion and Management, 2015 - Elsevier
Renewable energy sources have been attracting more and more attention of researchers
due to the diminishing and harmful nature of fossil energy sources. Because of the …
due to the diminishing and harmful nature of fossil energy sources. Because of the …
Green Energy Using Machine and Deep Learning
R Senthil Kumar, S Saravanan… - … Algorithms for Signal …, 2022 - Wiley Online Library
Renewable energy is increasingly being used to minimize the impact of global warming and
climate change. Hence, it has become more prevalent in the worldwide, electric energy grid …
climate change. Hence, it has become more prevalent in the worldwide, electric energy grid …