Results 141 to 150 of about 1,108 (256)

Data-driven combination of METAR observations and CAMS reanalysis aerosols to enhance satellite retrieval of surface solar irradiance. [PDF]

Sci Rep
Roy A, Heinemann D, Schroedter-Homscheidt M, Lezaca Galeano JE.   +3 more
europepmc   +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

LSTM-Based Estimation of Solar Energy Production Using Meteorological and Environmental Data: Karabük Case Study. [PDF]

Sensors (Basel)
Gultekin F, Guneser MT, Yildirim MZ.
europepmc   +1 more source

Hybrid Simulation–Machine Learning Surrogates for Coordinate‐Based Solar and Wind Energy Yield Assessment in Iraq: A Streamlit Decision‐Support Tool

Energy Science &Engineering, EarlyView.
This study integrates climatic simulations with machine learning to predict solar and wind energy across Iraq. Results show Random Forest excels for solar (R2 = 0.98) and neural networks for wind (R2 = 0.97), enabling a practical web tool for renewable energy planning. ABSTRACT Driven by the global shift away from fossil fuels, solar and wind resources
Bassam Musheer Kareem, Abdolsalam Ebrahimpour, Jafar Ghafouri, Roghayyeh Motallebzadeh   +3 more
wiley   +1 more source

A Survey of Current Operations-Ready Thermospheric Density Models for Drag Modeling in LEO Operations. [PDF]

J Astronaut Sci
Mutschler S, Pilinski M, Bruinsma S, Sutton E, Tobiska WK, Knipp D, Fang TW, Casali S, Mallik V, DiLorenzo B, Siemes C.   +10 more
europepmc   +1 more source

Integrated Solar and Wind Energy Systems for Domestic Power Generation and CO2 Emissions Reduction

Energy Science &Engineering, EarlyView.
A well‐structured and sequentially methodical procedure for evaluating the Wind and Photovoltaic Hybrid Energy System‐based technical, environmental, and economic viability. This study investigates the integration of solar photovoltaic(PV) and wind energy systems for domestic electricity generation in the Gaza Strip.
Mohamed Elnaggar, Mai Abuhelwa, Wael A. Salah, Aamir Bashir Taas, Hala J. El‐Khozondar, Yasser F. Nassar, Ahmad Aboul Khail, Alfian Ma'arif, Mohammed J. K. Bashir, Abdurrahman A. Mattar   +9 more
wiley   +1 more source

Maximum dispatchable capacity evaluation of a VPP with hybrid wind-solar-gas-storage systems. [PDF]

Sci Rep
Zhang C, Li D, Li C.
europepmc   +1 more source

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

Analysis and Classification of Partial Shading Conditions in Photovoltaic Arrays

Energy Science &Engineering, EarlyView.
This study presents new mathematical models for describing P–V curve extrema under different shading scenarios and applies machine learning classifiers that use features derived from P–V characteristics for accurate fault identification. ABSTRACT With the escalating global transition toward renewable energy, ensuring the operational stability and ...
Hamid Reza Parsa, Mohammad Sarvi
wiley   +1 more source

Optimizing solar irradiance forecasting: ANN models enhanced with ADAM and Cuckoo search algorithm. [PDF]

PLoS One
Sadiq M, Jibreel Sammar M, Anwaar Saeed M, Chen L, Liang J, AlZahrani MY, Mohsin SM.   +6 more
europepmc   +1 more source