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Modeling of Schottky diode characteristic by machine learning techniques based on experimental data with wide temperature range
(18 Ekim 20)
In this study, 4 common machine learning methods have been used to model the I–V characteristic of the Au/Ni/n-GaN/undoped GaN Schottky diode. The current values of previously produced Au/Ni/n-GaN/undoped GaN Schottky diode ...
The application of different optimization techniques and Artificial Neural Networks (ANN) for coal-consumption forecasting: a case study
(Mineral and Energy Economy Research Institute Polish Academy of Science, 2022)
The demand for energy on a global scale increases day by day. Unlike renewable energy sources, fossil fuels have limited reserves and meet most of the world's energy needs despite their adverse environmental effects. This ...
Long term electricity load forecasting based on regional load model using optimization techniques: A case study
(Taylor&Francis, 2022)
Long-term load forecasting is a significant and complex topic in electric
distribution systems. Forecasters is need to proper forecasting methodologies
and smart solutions to minimize complexity. In this study, regional ...
Parameter estimation of positive lightning impulse using curve fitting-based optimization techniques and least squares algorithm
(Elsevier B.V., 2022)
Lightning is leads to various adversary effects on energy systems and living beings. These negative effects can be reduced only through a better understanding of their characteristic behaviours of lightning. The present ...
FDTD-based SAR calculation of a wearable antenna for wireless body area network devices
(INTERNATIONAL JOURNAL OF MICROWAVE AND WIRELESS TECHNOLOGIES, 2023)
Wireless-connected wearable electronics are finding extensive usage for diagnostic and therapeutic purposes after the globally spread pandemic disease of COVID-19. Although they are undoubtedly helpful for keeping physical ...