Deep learning and wavelet transform integrated approach for short-term solar PV power prediction
A novel short-term solar power prediction model is presented in this work, by utilizing the
learning ability of Long-Shot-Term-Memory network (LSTM) based deep learning (DL) …
learning ability of Long-Shot-Term-Memory network (LSTM) based deep learning (DL) …
Analysis of ambient temperature influence on operation of overhead power lines
M Plieva, A Kabisov, T Gudiev - 2020 International Conference …, 2020 - ieeexplore.ieee.org
This article discusses the results of statistical processing of the observations on weather
stations obtained with different confidence probability limit calculated values of air …
stations obtained with different confidence probability limit calculated values of air …
A novel fuzzy based solar irradiation prediction approach for selection of solar panels in hisar (Haryana)
This paper proposes an ANN-based framework for forecasting the daily solar irradiance with
the meteorological data collected over 10 years for Hisar city, located in Haryana …
the meteorological data collected over 10 years for Hisar city, located in Haryana …
Simulation Study to Predict Generation Power of a Vehicle Photovoltaic System
S Li, M Fu, X Li, M Guo, M Li, X Yao… - International Journal of …, 2022 - Wiley Online Library
The integration of solar photovoltaic (PV) power generation technology into electric vehicle
(EV) charging systems is of great significance, and it is very important to analyze the …
(EV) charging systems is of great significance, and it is very important to analyze the …
Construction of a Solar Cell Broadband Impedance Spectrum and Synchronous Dc Voltammetry System
A Li, W Xiao, H Wu, Y Li, B Liu - Available at SSRN 4496261 - papers.ssrn.com
A measurement system was developed to accurately measure the broadband impedance
spectrum of solar cells. The main components of the system hardware include an …
spectrum of solar cells. The main components of the system hardware include an …