Optimizing solar power generation forecasting in smart grids: A hybrid convolutional neural network-autoencoder long short-term memory approach

A Zafar, Y Che, M Sehnan, U Afzal, AD Algarni… - Physica …, 2024 - iopscience.iop.org
Incorporating zero-carbon emission sources of energy into the electric grid is essential to
meet the growing energy needs in public and industrial sectors. Smart grids, with their …

Spatial-temporal characteristics analysis of solar irradiance forecast errors in Europe and North America

M Bai, P Yao, H Dong, Z Fang, W Jin, X Yang, J Liu… - Energy, 2024 - Elsevier
Accurate photovoltaic (PV) power forecast is crucial to power systems. Solar irradiance
forecast is the fundamentals of PV power forecast. Current researches merely focus on …

Effect of PV power forecast error on the frequency of a standalone microgrid system

P Gupta, R Singh - Journal of Renewable and Sustainable Energy, 2024 - pubs.aip.org
The need for solar photovoltaic (PV) power forecasting arises due to rapid fluctuations in
solar PV output. This variation can cause an imbalance between the demand and …

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 …

Revolutionizing Energy Efficiency with Sun-Lilly: An Affordable Dual-Axis Floating Solar Tracker

MMN Ali, MA Islam, TS Ustun… - … for Green and …, 2024 - ieeexplore.ieee.org
In response to the urgent environmental concerns associated with fossil fuel dependence,
this study presents an innovative solution by introducing “Sun-Lilly,” a dual-axis floating …