[HTML][HTML] An Intelligent SARIMAX-Based Machine Learning Framework for Long-Term Solar Irradiance Forecasting at Muscat, Oman

M Baloch, MS Honnurvali, A Kabbani, TA Jumani… - Energies, 2024 - mdpi.com
The intermittent nature of renewable energy sources (RES) restricts their widespread
applications and reliability. Nevertheless, with advancements in the field of artificial …

Predictive modeling of photovoltaic system cleaning schedules using machine learning techniques

H Abuzaid, M Awad, A Shamayleh, H Alshraideh - Renewable Energy, 2025 - Elsevier
Photovoltaic (PV) solar systems are a key contributor to sustainable energy generation, but
their performance is significantly reduced by dust accumulation, highlighting the need for …

A Comparative Study of AI Methods on Renewable Energy Prediction for Smart Grids: Case of Turkey

DB Unsal, A Aksoz, S Oyucu, JM Guerrero, M Guler - Sustainability, 2024 - mdpi.com
Fossil fuels still have emerged as the predominant energy source for power generation on a
global scale. In recent years, Turkey has experienced a notable decrease in the production …

Load Day-Ahead Automatic Generation Control Reserve Capacity Demand Prediction Based on the Attention-BiLSTM Network Model Optimized by Improved Whale …

B Li, H Li, Z Liang, X Bai - Energies, 2024 - mdpi.com
Load forecasting is a research hotspot in academia; in the context of new power systems,
the prediction and determination of load reserve capacity is also important. In order to adapt …

[HTML][HTML] Learning Coupled Meteorological Characteristics Aids Short-Term Photovoltaic Interval Prediction Methods

Y Guo, Y Song, Z Lai, X Wang, L Wang, H Qin - Energies, 2025 - mdpi.com
In response to the challenges posed by renewable energy integration, this study introduces
a hybrid Attention-TCN-LSTM model for short-term photovoltaic (PV) power forecasting. The …

Hydro-Sun Harmony: An Innovative Hybrid Power Plant Model for Hill Tracts Energy Independence

MA Islam, A Islam, MMN Ali, MN Huda… - … and Information & …, 2024 - ieeexplore.ieee.org
Bandarban, a remote stagnation in southern Bangladesh, struggles with a serious shortage
of energy. To address this difficulty, a novel model that strategically combines photovoltaic …

Energy Aware Production Planning Under the Constraint of CO2 Emission

A Estaji, A Bratukhin, R Stenzl, A Treytl… - 2024 IEEE 29th …, 2024 - ieeexplore.ieee.org
The growing emphasis on environmental sustainability, driven by regulations such as
Europe's Carbon Border Adjustment Mechanism (CBAM) and increased consumer …

Optimasi Prediksi Jumlah Wisatawan Nusantara ke Provinsi Bali Melalui Big Data Analytics dengan Integrasi Google Trends dan Tingkat Penghunian Kamar Hotel

SW Prayoga, AW Wijayanto - Seminar Nasional Official Statistics, 2024 - prosiding.stis.ac.id
The tourism sector plays an important role in the Indonesian economy. Bali, as a major
tourist destination, attracts a large number of domestic tourists, which has a significant …

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 …