[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 …

Day-Ahead Hourly Solar Photovoltaic Output Forecasting Using SARIMAX, Long Short-Term Memory, and Extreme Gradient Boosting: Case of the Philippines

IB Benitez, JA Ibañez, CIIID Lumabad, JM Cañete… - Energies, 2023 - mdpi.com
This study explores the forecasting accuracy of SARIMAX, LSTM, and XGBoost models in
predicting solar PV output using one-year data from three solar PV installations in the …

Comparison of CLOT-Adjusted AHI-8/9 and FY-4A Solar Irradiance Products for Solar PV Power Output Forecasting Using LSTM

IB Benitez, JA Ibañez, CD Lumabad III… - Transition Towards a …, 2024 - Springer
Accurate solar photovoltaic power output (PPV) forecasting in grid planning is crucial to
ensure sufficient power supply during peak hours and periods with high electricity demand …

Evaluating the Feasibility of Solar-Powered Escalators in Dhaka: A Comprehensive Case Analysis

MA Ahad, IJ Dola, MSK Munna… - … and Information & …, 2024 - ieeexplore.ieee.org
A large number of foot-over bridges are established in Dhaka city for crossing the road for
pedestrians safely. Due to the height of the stairs, people often refuse to use the foot-over …

Variable Renewable Energy Forecasting in the Philippines: A Review

IB Benitez, JG Singh, KI Repedro - … International Conference on …, 2024 - ieeexplore.ieee.org
The Philippines is advancing its renewable energy goals to achieve a 35% share by 2030.
This study evaluates solar photovoltaic (PV), and wind power output forecasting methods …