Results 121 to 130 of about 10,167 (256)

Transparent and Photovoltaic Water–Semiconductor Interface for Ultra‐Low‐Light Omnidirectional Photodetection

ENERGY &ENVIRONMENTAL MATERIALS, EarlyView.
A self‐powered photodetector using a static water–ZnO interface forms a Schottky‐like photovoltaic junction for ultra‐low‐light sensing. It delivers strong photoresponse, 360° detection, and flexibility, advancing transparent and sustainable water‐based optoelectronics.
Sanh Vo Thi, Malkeshkumar Patel, Sourov Hossain, Md Arifur Rahman Barno, Ngoc Le Trinh, Han‐Bo‐Ram Lee, Yu Kwon Kim, Joondong Kim   +7 more
wiley   +1 more source

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

A Novel Bipolar DC Connection Strategy for Photovoltaic Power Plants With a 50% Reduction in DC Cabling Length

Energy Science &Engineering, EarlyView.
Bipolar configuration is a new topology in the direct current (DC) system of photovoltaic power plants, which is topologically analogous to the bipolar configuration utilised in High‐Voltage Direct Current power transmission systems. DC cable length and copper usage are reduced by 50% using a bipolar configuration.
Duško M. Tovilović, Željko R. Đurišić, Vladan R. Durković   +2 more
wiley   +1 more source

Influence of Structural and Environmental Parameters on Solar Air Collector Performance

Energy Science &Engineering, EarlyView.
Increasing air gap depth and mass flow rate significantly enhances the thermal performance of solar air collectors, with optimal performance achieved at an 8.5 cm air gap and 0.01318 kg/s mass flow rate. Air gap depth is identified as the dominant factor influencing system efficiency.
Quankun Zhu, István Farkas, János Buzas   +2 more
wiley   +1 more source

SaurKshetra: A curated dataset and ML-based classification for solar energy site selection. [PDF]

Data Brief
Shivgan Y, Bhirud C, Jamgade A, Kulkarni A, Patil R, Kaur G, Bassir D, Tejani GG.   +7 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

Data-driven climatic zoning and future trend forecasting in Chad using artificial neural networks. [PDF]

Sci Rep
Dari YD, Dagal I.
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

Techno-Economic Comparison Based on Experimental Setup of Spherical and Flat Photovoltaics with IoT Monitoring System. [PDF]

Sensors (Basel)
Badawi A, El-Bayeh CZ, Elzein IM, Alqaisi W, Ashraf A, Palikuca V, Hasan-Zia M.   +6 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