[HTML][HTML] Forecasting solar photovoltaic power production: A comprehensive review and innovative data-driven modeling framework

S Al-Dahidi, M Madhiarasan, L Al-Ghussain… - Energies, 2024 - mdpi.com
The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates
accurate power production prediction for effective scheduling and grid management. This …

A review on forecasting the photovoltaic power using machine learning

AK Mittal, K Mathur, S Mittal - Journal of Physics: Conference …, 2022 - iopscience.iop.org
In this review paper on different forecasting method of the solar power output for effective
generation of the power grid and proper management of transfer rate of energy per unit area …

[HTML][HTML] Short-term solar power forecasting: A combined long short-term memory and gaussian process regression method

Y Wang, B Feng, QS Hua, L Sun - Sustainability, 2021 - mdpi.com
Solar power is considered a promising power generation candidate in dealing with climate
change. Because of the strong randomness, volatility, and intermittence, its safe integration …

[HTML][HTML] Novel mode adaptive artificial neural network for dynamic learning: Application in renewable energy sources power generation prediction

MA Zamee, D Won - Energies, 2020 - mdpi.com
A reasonable dataset, which is an essential factor of renewable energy forecasting model
development, sometimes is not directly available. Waiting for a substantial amount of training …

Machine Learning Approach on Time Series for PV‐Solar Energy

S Sivakumar, B Neeraja… - … in Materials Science …, 2022 - Wiley Online Library
Solar energy is the kind of alternative energy that a photovoltaic (PV) system may generate.
The PV system depends on the environmental conditions present at the moment, such as …

[HTML][HTML] Recent Trends in Real-Time Photovoltaic Prediction Systems

I Gallardo, D Amor, Á Gutiérrez - Energies, 2023 - mdpi.com
Photovoltaic power forecasting is an important problem for renewable energy integration in
the grid. The purpose of this review is to analyze current methods to predict photovoltaic …

Enterprise intelligent audit model by using deep learning approach

R Ding - Computational Economics, 2022 - Springer
The purpose is to apply artificial intelligence to enterprise intelligent audit, improve the
efficiency of enterprise audit, and finally supervise and manage the enterprise revenue and …

Performance enhancement of PI-controller using SVM for DFIG-grid interconnected system

MC Das, R Dash, SC Swain… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
The advantages of reactive power compensation can be insured by properly placing the
STATCOM in a wind integrated power system. The modern power system is highly scattered …

Short-term forecasting of solar radiation using a hybrid model of CNN-LSTM integrated with EEMD

NTH Thu, PN Van, PQ Bao, NVN Nam… - 2022 6th …, 2022 - ieeexplore.ieee.org
Nowadays, renewable energy gradually become indispensable sources all over the world
such as solar energy, wind energy, tidal energy, etc. In terms of solar energy, solar radiation …

[HTML][HTML] Metodología basada en ciencia de datos para el desarrollo de pronóstico de la generación de energía de una planta solar fotovoltaica

CA Yajure-Ramírez - Ingenius. Revista de Ciencia y …, 2023 - scielo.senescyt.gob.ec
El uso de plantas solares fotovoltaicas para la generación de energía eléctrica ha ido en
constante aumento en los últimos años. Muchas de estas se conectan a la red eléctrica …