Results 131 to 140 of about 1,108 (256)

Attention-Enhanced CNN-LSTM with Spatial Downscaling for Day-Ahead Photovoltaic Power Forecasting. [PDF]

Sensors (Basel)
Peng F, Tang X, Xiao M.
europepmc   +1 more source

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

Optimized cross-attention GRU-transformer network with sooty tern algorithm for accurate solar power forecasting. [PDF]

Sci Rep
Usha N, Manoharan PS.
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

Enhancing wind and solar energy forecasting through time-series feature engineering and ensemble machine learning. [PDF]

Sci Rep
Elmunim NA, Khlifi MA, Aldawsari MA, Algarni F, Albalawi A, Ismail A, Hassan BM.   +6 more
europepmc   +1 more source

Lifetime Analysis of Grid‐Tied Photovoltaic System Considering DC–DC Converter Ripple and Efficiency

Energy Science &Engineering, EarlyView.
This work presents a comprehensive lifetime analysis of a two‐stage grid‐tied photovoltaic (PV) system by incorporating critical factors such as input current ripple and operating voltage variations, which are often neglected in conventional studies.
Surla Vishnu Kanchana Naresh, Sankar Peddapati, Praveen Kumar Bonthagorla   +2 more
wiley   +1 more source

Long-memory modeling and forecasting of monthly mean sunspot numbers for cycles 25 & 26 using ARFIMA model. [PDF]

Sci Rep
Abdel Rahman HI, Eid D.
europepmc   +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

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