Results 91 to 100 of about 6,191 (299)
Energy Science &Engineering, EarlyView.We present a smart solar tracking method using artificial intelligence to improve the efficiency of solar panels. Unlike traditional techniques, our system learns and adapts to changing sunlight conditions, ensuring faster and more reliable power generation for real‐world energy needs.
Rida Amine +5 more
wiley +1 more source
Spatio‐Temporal Dual‐Encoder Transformer for Short‐Term Regional Wind Power Forecasting
Energy Science &Engineering, EarlyView.ST‐DualFormer separates temporal and spatial encoding to model complex dependencies in regional wind power forecasting. The fused dual‐stream representation enables accurate short‐term regional forecasts from multi‐farm meteorological and historical power data. The method achieved 5.25% nMAE and 7.53% nRMSE for three‐day‐ahead forecasting on real‐world
Jianfeng Che +4 more
wiley +1 more source
Satellite Meteorology: GOES Channel Selection V2
, 2002 This module is an update to the previous Satellite Meteorology: GOES Channel Selection module. It reviews the five GOES imager channels and their use, incorporating conceptual visualizations and numerous imagery examples. The module also includes updated
Patrick Dills
core
A Comprehensive Review of AI‐Powered Energy Systems
Energy Science &Engineering, EarlyView.The role of Artificial Intelligence (AI) in developing next‐generation energy systems is getting more day by day. Therefore, incorporating AI enables real‐time decision‐making and advanced grid management, which are essential for optimizing the use of intermittent renewable sources like wind and solar power.
Armin Razmjoo +5 more
wiley +1 more source
Environmental Research CommunicationsCoal combustion (CC) represents an important contributor of the atmospheric primary particulate matter and drives a large fraction of secondary organic aerosol (SOA) formation in cold season.
Zhijie Li +8 more
doaj +1 more source
Adaptability evaluation of the FIRST model in Hobq Desert, northern China
Frontiers in Earth ScienceObtaining high temporal and spatial resolution spectral data is the key to revealing the influencing factors, effects, and mechanisms of land-atmosphere interactions in deserts.
Xinqian Zheng +6 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 +4 more
wiley +1 more source
OPERANDUM Training Materials: Nature-based Solutions for Hydro-Meteorological Hazards
, 2022 The OPERANDUM training materials aim to emphasize the knowledge generated through the EU-funded OPERANDUM project and promote the uptake of Nature-based Solutions for hydro-meteorological hazards in Europe and beyond. Embedded in a series of training units, the materials address common knowledge gaps and highlight lessons learned from the NBS co ...
openaire +1 more source
Air pollution exposure during training impairs performance in Thoroughbred racehorses
Equine Veterinary Journal, EarlyView.Abstract Background Ambient air pollution contributes substantially to human morbidity and mortality, and athletes are recognised as a particularly vulnerable group. However, little is known about the impact of air pollution on equine athletes. Objectives To explore the relationship between air pollution exposure during the pre‐competition training ...
Danielle Scott +4 more
wiley +1 more source
, 2020 The project Strengthening Agro-climatic Monitoring and Information Systems to improve adaptation to climate change and food security in Lao People's Democratic Republic, has arranged training on basic and advanced geographic information systems (GIS) for
Gunasekara, K., Yrle, F.
core