[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 …

Renewable Energy Forecasting Based on Stacking Ensemble Model and Al-Biruni Earth Radius Optimization Algorithm

AA Alghamdi, A Ibrahim, ESM El-Kenawy… - Energies, 2023 - mdpi.com
Introduction: Wind speed and solar radiation are two of the most well-known and widely
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …

Machine learning approaches to predict electricity production from renewable energy sources

A Krechowicz, M Krechowicz, K Poczeta - Energies, 2022 - mdpi.com
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …

[HTML][HTML] Investigation of temperature coefficients of PV modules through field measured data

BR Paudyal, AG Imenes - Solar Energy, 2021 - Elsevier
Varying broadband irradiance and temperature are generally known as the major factors
influencing the performance of PV modules, but studies have also shown the substantial …

Life cycle multi-objective (geospatial, techno-economic, and environmental) feasibility and potential assessment of utility scale photovoltaic power plants

M Ahmad, M Zeeshan, JA Khan - Energy Conversion and Management, 2023 - Elsevier
Bridging the gap between sustainability theory and good practice of utility-scale photovoltaic
deployment requires strategic planning considering multiple criteria. This study, for the first …

Solar radiation forecasting by pearson correlation using LSTM neural network and ANFIS method: application in the west-central Jordan

H Fraihat, AA Almbaideen, A Al-Odienat, B Al-Naami… - Future Internet, 2022 - mdpi.com
Solar energy is one of the most important renewable energies, with many advantages over
other sources. Many parameters affect the electricity generation from solar plants. This paper …

[HTML][HTML] Short-term photovoltaic power prediction based on modal reconstruction and hybrid deep learning model

Z Li, R Xu, X Luo, X Cao, S Du, H Sun - Energy Reports, 2022 - Elsevier
Short-term photovoltaic (PV) power prediction is significant in improving power grid planning
and dispatching capacity. However, the change of PV power has strong randomness and …

Prediction of wind and PV power by fusing the multi-stage feature extraction and a PSO-BiLSTM model

S Peng, J Zhu, T Wu, C Yuan, J Cang, K Zhang… - Energy, 2024 - Elsevier
Accurate prediction of wind and photovoltaic (PV) power is essential to ensure the stable
operation of power systems. However, the conventional power prediction methods face the …

[HTML][HTML] Solar irradiance forecasting models using machine learning techniques and digital twin: A case study with comparison

N Sehrawat, S Vashisht, A Singh - International Journal of Intelligent …, 2023 - Elsevier
The ever-increasing demand for energy and power consumption due to population growth,
economic expansion, and evolving consumer choices has led to the need for renewable …

[HTML][HTML] Short-term prediction of the power of a new wind turbine based on IAO-LSTM

Z Li, X Luo, M Liu, X Cao, S Du, H Sun - Energy Reports, 2022 - Elsevier
Short-term wind power forecasting is of great significance to the real-time dispatching of
power systems, but the short-term forecasting accuracy of wind power is not high. To this …