Results 81 to 90 of about 38,147 (211)

A VMD Plugin for NAMD Simulations on Amazon EC2

open access: yesProcedia Computer Science, 2012
AbstractVMD and NAMD are two major molecular dynamics simulation software packages, which can work together for mining structural information of bio-molecules. Carrying out such molecular dynamics simulations can help researchers to understand the roles and functions of various bio-molecules in life science research.
Adam Kai Leung Wong   +1 more
openaire   +1 more source

A hybrid CEEMDAN-VMD-TimesNet model for significant wave height prediction in the South Sea of China

open access: yesFrontiers in Marine Science
Accurate prediction of significant wave height is of great reference value for wave energy generation. However, due to the non-linearity and non-stationarity of significant wave height, traditional algorithms face difficulties in achieving satisfactory ...
Tong Ding   +4 more
semanticscholar   +1 more source

Power load forecasting based on SMD-Informer-BiLSTM

open access: yesZhejiang dianli
To address the limitations of traditional methods—such as inadequate feature extraction and insufficient nonlinear processing capability in single deep learning models—this paper proposes a novel power load forecasting model integrating secondary modal ...
XU Shixin   +5 more
doaj   +1 more source

Optimal capacity configuration of hybrid energy storage for PV-storage system considering prediction errors and power fluctuations

open access: yesZhejiang dianli
A hybrid energy storage system (HESS) composed of batteries and supercapacitors can effectively mitigate the impact of photovoltaic (PV) output randomness and fluctuation on grid connection.
GUO Beiyuan   +6 more
doaj   +1 more source

Rolling Bearing Fault Diagnosis Based on SABO–VMD and WMH–KNN

open access: yesItalian National Conference on Sensors
To improve the performance of roller bearing fault diagnosis, this paper proposes an algorithm based on subtraction average-based optimizer (SABO), variational mode decomposition (VMD), and weighted Manhattan-K nearest neighbor (WMH–KNN).
Guangxing Liu, Yihao Ma, Na Wang
semanticscholar   +1 more source

Enhancing Agricultural Futures Return Prediction: Insights from Rolling VMD, Economic Factors, and Mixed Ensembles

open access: yesAgriculture
The prediction of agricultural commodity futures returns is crucial for understanding global economic trends, alleviating inflationary pressures, and optimizing investment portfolios.
Yiling Ye   +4 more
doaj   +1 more source

A Perspective on Observation as Intervention in Chronic Diagnostic Complexity

open access: yesJournal of Patient Experience
This patient perspective article advances observation as an intentional, rigorous form of clinical care rather than a passive absence of intervention.
Caroline N. Niederman VMD
doaj   +1 more source

Hybrid vacuum membrane distillation-multi effect distillation (VMD-MED) system for reducing specific energy consumption in desalination

open access: yesDesalination and Water Treatment
This study focuses on the integration of vacuum membrane distillation into the multi-effect distillation (VMD-MED) system, incorporating heat recovery mechanisms to augment fresh water productivity and minimize the specific thermal energy consumption of ...
Wajeeha Bibi   +3 more
doaj   +1 more source

A Review on Variational Mode Decomposition for Rotating Machinery Diagnosis

open access: yesMATEC Web of Conferences, 2019
Signal processing method is very important in most diagnosis approach for rotating machinery due to non-linearity, non-stationary and noise signals. Recently, a new adaptive signal decomposition method has been proposed by Dragomiretskiy and Zosso known ...
Isham M. Firdaus   +3 more
doaj   +1 more source

Wind power forecasting with a VMD-LSTM-informer hybrid deep learning model

open access: yesEnergy and AI
The integration of wind power systems into power grids poses operational challenges due to the inherent intermittency of wind power generation. Accurate wind power prediction can help mitigate these problems and improve grid reliability.
Qiantong Zheng, Yubao Liu, Tingting Gu
doaj   +1 more source

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