Results 111 to 120 of about 3,413,140 (351)

Forecasting Green Energy Production in Latin American Countries and Canada via Temporal Fusion Transformer

Energy Science &Engineering, EarlyView.
This study employs the temporal fusion transformer (TFT) model to enhance the accuracy of energy output predictions for green energy sources across the Latin American countries and Canada. With a mean absolute percentage error (MAPE) of 1.76% and a root mean square error (RMSE) of 0.0173, the TFT model is better at making predictions than models like ...
Muhammad Shoaib Saleem, Javed Rashid, Sajjad Ahmad, Ali M. Al‐Shaery, Saad Althobaiti, Muhammad Faheem   +5 more
wiley   +1 more source

Perdas na colheita mecanizada de soja (Glycine max) no município de Maripá - PR Losses in mechanized harvest of soybean (Glicine max) in Maripá - PR

Revista Brasileira de Engenharia Agrícola e Ambiental, 2011
Objetivou-se com o trabalho avaliar as perdas na plataforma de corte nos sistemas de trilha e de limpeza e as perdas totais na colheita mecanizada de soja, no município de Maripá, PR, sendo 39 máquinas em 25 propriedades do município. Observou-se que 79%
Ricardo Schanoski, Evandro Z. Righi, Valmir Werner   +2 more
doaj   +1 more source

Global Horizontal Irradiance Prediction Model Based on Mixed Spatial Information and Aerosol Classification

Energy Science &Engineering, EarlyView.
ABSTRACT Reliable and accurate predictions of solar radiation are essential for the supervision and operation of solar photovoltaic power generation systems. As the primary media involved in atmospheric radiation transfer, aerosols significantly influence global horizontal irradiance (GHI).
XiuYan Gao, YuTian Hou, Suning Li, Yuan Yuan   +3 more
wiley   +1 more source

Blended Ensemble Learning for Robust Normal Behavior Modeling of Wind Turbines

Energy Science &Engineering, EarlyView.
A comprehensive framework for wind turbine normal behavior modeling that integrates data preprocessing, RKS‐enhanced kernel PCA dimensionality reduction, and blended ensemble learning methodologies. The framework processes SCADA data through training, validation, and testing phases to develop a robust model capable of detecting anomalies at a 0.1 ...
Jianghao Zhu, Tingting Pei, Le Su, Bin Lan, Wei Chen   +4 more
wiley   +1 more source

Future climate projection across Tanzania under CMIP6 with high-resolution regional climate model

Scientific Reports
Climate change is one of the most pressing challenges faced by developing countries due to their lower adaptive capacity, with far-reaching impacts on agriculture. The mid-century period is widely regarded as a critical moment, during which adaptation is
Dawido S. Magang, Moses A. Ojara, Lou Yunsheng, Philemon H. King’uza   +3 more
doaj   +1 more source

Prediction of short and long-term droughts using artificial neural networks and hydro-meteorological variables [PDF]

arXiv, 2020
Drought is a natural creeping threat with numerous damaging effects in various aspects of human life. Accurate drought prediction is a promising step in helping policy makers to set drought risk management strategies. To fulfill this purpose, choosing appropriate models plays an important role in predicting approach.
arxiv  

Mod Tanh‐Activated Physical Neural Network MPPT Control Algorithm for Varying Irradiance Conditions

Energy Science &Engineering, EarlyView.
The proposed MPPT controller (CRT‐POA‐PID) is implemented to enhance power efficiency in the PV system. The beta‐distributed point estimation technique is used for mismatch factor correction, improving performance. Simulations show a 98.42% efficiency improvement, a 4.54 dB reduction in total harmonic distortion, and faster convergence compared to ANN ...
Khuong Nguyen‐Vinh, Surender Rangaraju, Michal Jasinski   +2 more
wiley   +1 more source

Before‐after‐control‐impact field experiment shows anti‐predator netting enhances occupancy of the threatened Hungarian meadow viper (Vipera ursinii rakosiensis)

Wildlife Biology, EarlyView., 2023
The Hungarian meadow viper is an endangered grassland‐dwelling species, which faces high predation pressure, partially due to avian species that forage in its habitat. Predation pressure by avian predators is caused not only by abundant game species (e.g. hooded crow, Corvus cornix) but also by protected and threatened species (e.g.
Edvárd Mizsei, Mátyás Budai, Bálint Wenner, Gergő Rák, Dávid Radovics, Barnabás Bancsik, Gergő Kovács, Ádám Tisza, János Simics, Márton Szabolcs, Csaba Vadász, Attila Móré   +11 more
wiley   +1 more source

Data‐Driven Feature Decomposition Integrated Prediction Model for Dust Concentration in Open‐Pit Mines

Energy Science &Engineering, EarlyView.
ABSTRACT Accurate prediction of dust in open‐pit mines can serve as a foundation for implementing dust prevention and control measures. Based on the collection and monitoring of dust concentration, meteorological, and production data from open‐pit mines, the changing characteristics of dust concentration and its influencing factors were analyzed.
Shuangshuang Xiao, Jin Liu, Qing Yang, Zhiguo Chang, Yonggui Zhang   +4 more
wiley   +1 more source

Super-Resolution Simulation for Real-Time Prediction of Urban Micrometeorology [PDF]

, 2019
We propose a super-resolution (SR) simulation system that consists of a physics-based meteorological simulation and an SR method based on a deep convolutional neural network (CNN). The CNN is trained using pairs of high-resolution (HR) and low-resolution (LR) images created from meteorological simulation results for different resolutions so that it can
arxiv   +1 more source