A Bhansali, N Narasimhulu, R Pérez de Prado… - Energies, 2023 - mdpi.com
Today, methodologies based on learning models are utilized to generate precise conversion techniques for renewable sources. The methods based on Computational Intelligence (CI) …
As solar energy generation has become more and more important for the economies of numerous countries in the last couple of decades, it is highly important to build accurate …
It is essential to have accurate projections of the quantity of solar energy that will be generated in the future to improve the competitiveness of solar power plants in the energy …
Recent advancements in data science and artificial intelligence, as well as the development of clean and sustainable energy sources, have created numerous opportunities for energy …
H Yadav, A Thakkar - Expert Systems with Applications, 2024 - Elsevier
The application of Machine learning and deep learning techniques for time series forecasting has gained significant attention in recent years. Numerous endeavors have been …
Y Anagun - Multimedia Tools and Applications, 2023 - Springer
The early diagnosis of cancer is crucial to provide prompt and adequate management of the diseases. Imaging tests, in particular magnetic resonance imaging (MRI), are the first …
Overview: Photovoltaic (PV) systems are widely used in residential applications in Poland and Europe due to increasing environmental concerns and fossil fuel energy prices. Energy …
Y Zhang, L Zhang, D Sun, K Jin, Y Gu - Applied Sciences, 2023 - mdpi.com
Wind power generation is a renewable energy source, and its power output is influenced by multiple factors such as wind speed, direction, meteorological conditions, and the …
V Simankov, P Buchatskiy, A Kazak, S Teploukhov… - Energies, 2024 - mdpi.com
The use of renewable energy sources is becoming increasingly widespread around the world due to various factors, the most relevant of which is the high environmental …