Results 41 to 50 of about 48,728 (229)
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 +5 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 +4 more
wiley +1 more source
Conjecture on imminent earthquake prediction --- from shaving foam to cloud patterns [PDF]
arXiv, 2012 A conjecture on imminent earthquake prediction is presented. Drastic geological deformations of crustal rock strata taking place immediately (hours/days) before an earthquake may cause fast air or gas emission/absorption vertically in between ground and sky.
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 +2 more
wiley +1 more source
Prediction of typhoon tracks using a generative adversarial network with observational and meteorological data [PDF]
arXiv, 2018 Tracks of typhoons are predicted using a generative adversarial network (GAN) with observational data in form of satellite images and meteorological data from a reanalysis database. Time series of images of typhoons which occurred in the Korean Peninsula in the past are used to train the neural network.
arxiv
Analyzing the Impact of Meteorological Parameters on Rainfall Prediction [PDF]
arXiv, 2021 Rainfall is a climatic factor that affects many human activities like agriculture, construction, and forestry. Rainfall is dependent on various meteorological features and its prediction is a very complex task due to the dynamic climatic nature. A detailed study of different climatic features associated with the occurrence of rainfall should be made in
arxiv
Fire and Materials, EarlyView.Abstract This study investigates the composition of smoke gases in forest and vegetation samples to draw conclusions about the actual smoke gas composition during wildfires. The focus is particularly on regions with extensive pine forests, like in Eastern Germany.
Kira Piechnik +3 more
wiley +1 more source
Creating synthetic night-time visible-light meteorological satellite images using the GAN method [PDF]
arXiv, 2021 Meteorology satellite visible light images is critical for meteorology support and forecast. However, there is no such kind of data during night time. To overcome this, we propose a method based on deep learning to create synthetic satellite visible light images during night.
arxiv
Journal of Raman Spectroscopy, EarlyView.Recent advancements in spectral and spatial resolutions for Raman spectroscopy allow the analysis of fluid and melt inclusions. To explore the applicability of 3D Raman mapping, we conducted 3D Raman mapping on inclusions hosted by orthopyroxene in modally metasomatized mantle xenoliths from the Styrian Basin (W‐Carpathian Pannonian Region).
Justine L. Myovela +7 more
wiley +1 more source
Limnology and Oceanography, EarlyView.Abstract The maintenance of soil surface elevation in mangroves supports the persistence of mangroves with sea level rise. The processes contributing to soil surface elevation have rarely been assessed in the humid tropics, despite most mangroves occurring in river deltas and tidal estuaries within this climate zone. Using surface elevation table (SET)
Catherine E. Lovelock +4 more
wiley +1 more source