Results 111 to 120 of about 231,837 (281)

Tree‐Boost–Guided CNN–BiLSTM–Transformer for Solar Irradiance Forecasting: Cross‐Regional Evidence for Sustainable Energy Planning

Energy Science &Engineering, EarlyView.
This graphical abstract illustrates a reproducible pipeline that combines gradient‐boosting‐based feature selection with a CNN–BiLSTM–Transformer model to forecast solar irradiance across multi‐site satellite and ground datasets, delivering robust, high‐accuracy predictions that support sustainable grid planning and reliable PV integration.
Muhammad Farhan Hanif, Usama Hassan, Javid Hussain, Irfan Ali Khan, Yuldasheva Gulora, Syed Masood Arif Bukhari   +5 more
wiley   +1 more source

Measuring DNI with a New Radiometer Based on an Optical Fiber and Photodiode

Sensors
A new cost-effective radiometer has been designed, built, and tested to measure direct normal solar irradiance (DNI). The proposed instrument for solar irradiance measurement is based on an optical fiber as the light beam collector, a semiconductor ...
Alejandro Carballar, Roberto Rodríguez-Garrido, Manuel Jerez, Jonathan Vera, Joaquín Granado   +4 more
doaj   +1 more source

Graph Neural Network‐Based Prediction of Building Energy Consumption

Energy Science &Engineering, EarlyView.
A graph neural network that encodes a multi‐zone building as a graph accurately predicts hourly cooling and heating loads across three distinct climates, outperforming Random Forest and XGBoost baselines and serving as a fast surrogate to EnergyPlus simulations for scalable building energy management.
Ali Maboudi Reveshti, Jamal Dabbagh, Jhila Nasiri Reveshti, Karim Farajeyan Bonab, Farid Hosseini Mansoub   +4 more
wiley   +1 more source

Forecasting Direct Normal Irradiation At Djibouti Using Artificial Neural Network

, 2017
In this paper Artificial Neural Network (ANN) is used to predict the solar irradiation in Djibouti for the first Time that is useful to the integration of Concentrating Solar Power (CSP) and sites selections for new or future solar plants as part of solar energy development.
Abdourazak, Ahmed Kayad, Abderafi Souad, Zejli Driss, Idriss Abdoulkader Ibrahim   +3 more
openaire   +2 more sources

Techno‐Economic and Quasi‐Dynamic Load Flow Analysis of a Hybrid Renewable Microgrid for Coastal Industrial Loads

Energy Science &Engineering, EarlyView.
A hybrid PV–wind grid‐connected microgrid for Mongla Port is optimized using HOMER Pro and validated via DIgSILENT quasi‐dynamic load flow. The system achieves a low cost of energy (0.0341 USD/kWh), 70.9% renewable penetration, improved voltage stability, and significant emission reduction, demonstrating a reliable and cost‐effective solution for ...
Md. Behesty Hasan Sagor, Md Abdus Samad Kamal, Md. Feroz Ali, Md. Mahedi Hasan, Fahad Saleh Al‐Ismail, Md Shafiul Alam, Mohammad Ali   +6 more
wiley   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Investigation of direct normal irradiance and total cloud cover connection over Nigeria using satellite data

African Scientific Reports
This study assessed the connection between Direct Normal Irradiance (DNI) and Total Cloud Cover (TCC) throughout Nigeria, a region with considerable yet underexploited solar energy potential.
Tersoo Abiem, Tertsea Igbawua, Jacob Adawa   +2 more
doaj   +1 more source

Improved Power Tracking and Performance Evaluation Using a Tri‐Meta Hybrid DOA–CSA–WOA‐Based MPPT Controller for Standalone PV System

Energy Science &Engineering, EarlyView.
A Tri‐Meta Hybrid DOA–CSA–WOA Maximum Power Point Tracking controller is developed to enhance photovoltaic system performance. The proposed approach achieves higher tracking efficiency, faster convergence, and robust operation under dynamic irradiance and partial shading conditions.
Ali Abbas, Muhammad Farhan, Nouman Safdar, Muhammad Junaid Rabbani, Mohammad Rashed M. Altimania, Waleed Mohammed Abdelfattah, Hafiz Mudassir Munir   +6 more
wiley   +1 more source

Toward net-zero energy architecture: solar irradiance study on vertical building surfaces for building-integrated photovoltaic applications

Cogent Engineering
The building sector has been a significant contributor to greenhouse gas emissions. Many researchers and practitioners have been utilizing photovoltaic (PV) panels as a measure to offset the negative impact of emissions.
Chengde Wu, Kyoung Hee Kim
doaj   +1 more source

Non‐fullerene acceptor aggregation regulation via additives dipole moment leads to 19.9% power conversion efficiency in bilayer organic solar cells

FlexMat, EarlyView.
Additives interact with non‐fullerene acceptors to modulate their aggregation behavior and molecular orientation via optimizing crystallization kinetics. The optimized morphology effectively suppresses charge carrier recombination and enhances charge transport. Notably, 2‐chloro‐1,3‐dibromobenzene with the dipole moments of 2.56 D enables the PM6/L8‐BO
Jingjing Zhao, Jiancheng Zhong, Yuanyuan Qin, Chenxi Cao, Lanlan Zhang, Xin Li, Min Zhang, Hongxiang Li, Zhipeng Kan   +8 more
wiley   +1 more source