[HTML][HTML] Forecasting solar photovoltaic power production: a comprehensive review and innovative data-driven modeling framework
The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates
accurate power production prediction for effective scheduling and grid management. This …
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
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 …
used renewable energy sources worldwide. Coal, natural gas, and petroleum are examples …
Machine learning approaches to predict electricity production from renewable energy sources
Bearing in mind European Green Deal assumptions regarding a significant reduction of
green house emissions, electricity generation from Renewable Energy Sources (RES) is …
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 …
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
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 …
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
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 …
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 …
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
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 …
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 …
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 …
power systems, but the short-term forecasting accuracy of wind power is not high. To this …