Two-stage attention over LSTM with Bayesian optimization for day-ahead solar power forecasting

M Aslam, SJ Lee, SH Khang, S Hong - IEEE Access, 2021 - ieeexplore.ieee.org
The penetration of PVs into the power grid is increasing day by day, as they are more
economical and environment-friendly. However, due to the intrinsic intermittency in solar …

LSTM-attention-embedding model-based day-ahead prediction of photovoltaic power output using Bayesian optimization

T Yang, B Li, Q Xun - IEEE access, 2019 - ieeexplore.ieee.org
Photovoltaic (PV) output is susceptible to meteorological factors, resulting in intermittency
and randomness of power generation. Accurate prediction of PV power output can not only …

Ultra-short-term forecasting of photo-voltaic power via RBF neural network

W Ma, Z Chen, Q Zhu - Electronics, 2020 - mdpi.com
With the fast expansion of renewable energy systems during recent years, the stability and
quality of smart grids using solar energy have been challenged because of the intermittency …

Comparison of simulation results for 25 kw power output rooftop pv system

T Dindar, V Esen, AS Sarkın - European Journal of Technique (EJT), 2022 - dergipark.org.tr
The use of electrical energy from renewable energy sources has increased considerably in
recent years. Photovoltaic (PV) solar energy, which is one of the renewable energy sources …

Day-ahead Solar Power Generation Forecasting using LSTM and Random Forest Methods for North Eastern Region of India

N Roy, P Tripathy, SC De, B Swargiary… - 2022 22nd National …, 2022 - ieeexplore.ieee.org
A tremendous increase in the renewable energy capacity addition worldwide has been
observed in the recent times. India is also aiming to make renewables, the major source of …

Power Consumption Minimization of a Low-Cost IoT Data Logger for Photovoltaic System

W He, MT Iqbal - Journal of Electronics and Electrical Engineering, 2023 - ojs.wiserpub.com
This paper introduces an innovative IoT-based data logger for photovoltaic (PV) system
monitoring, emphasizing low power consumption and affordability. The system comprises a …

[HTML][HTML] A numerical modelling approach for the optimisation of photovoltaic installations in the mitigation of thermal effects

K Chiteka, L Madiye, H Chingosho, R Arora… - Scientific African, 2022 - Elsevier
Solar energy presents one of the best alternative sources of energy in the current bid to
mitigate the negative impacts of global warming. The present study evaluated the influence …

[PDF][PDF] Smart monitoring technique for solar cell systems using internet of things based on NodeMCU ESP8266 microcontroller.

AH Ali, RA El-Kammar, HF Ali Hamed… - … Journal of Electrical …, 2024 - researchgate.net
Rapidly and remotely monitoring and receiving the solar cell systems status parameters,
solar irradiance, temperature, and humidity, are critical issues in enhancement their …

Time Series-Based Photovoltaic Power Forecasting to Optimize Grid Stability

P Seshadri, BP TS - Electric Power Components and Systems, 2021 - Taylor & Francis
The increase in penetration of solar photovoltaics into the traditional grid and the
accelerating growth of smart grids have introduced new challenges to grid stability …

Comparing novel MMIC and hybrid circuit high efficiency GaAs Schottky diode mm-wave frequency doublers

JR Powell, C Viegas, HS Sanghera, PG Huggard… - Electronics, 2020 - mdpi.com
A novel Schottky diode frequency doubler in E-band, using biased series-connected diodes
in the output waveguide, is reported. The doubler was implemented using a GaAs Schottky …