Cargando…

Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory

Accurately forecasting electrical signals from three-phase Direct Torque Control (DTC) induction motors is crucial for achieving optimal motor performance and effective condition monitoring. However, the intricate nature of multiple DTC induction motors and the variability in operational conditions...

Descripción completa

Detalles Bibliográficos
Autores principales:	Le, Thi-Thu-Huong, Oktian, Yustus Eko, Jo, Uk, Kim, Howon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2023
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10490813/ https://www.ncbi.nlm.nih.gov/pubmed/37688102 http://dx.doi.org/10.3390/s23177647

Ejemplares similares

RealPrice: Blockchain-Powered Real-Time Pricing for Software-Defined Enabled Edge Network
por: Oktian, Yustus Eko, et al.
Publicado: (2022)

Blockchain-Based Federated Learning System: A Survey on Design Choices
por: Oktian, Yustus Eko, et al.
Publicado: (2023)

Impact of Covid-19 pandemic on electricity demand in the UK based on multivariate time series forecasting with Bidirectional Long Short Term Memory
por: Liu, Xiaolei, et al.
Publicado: (2021)

Electricity Generation Forecast of Shanghai Municipal Solid Waste Based on Bidirectional Long Short-Term Memory Model
por: Liu, Bingchun, et al.
Publicado: (2022)

Electric Motors and Drives
por: Hughes, Austin
Publicado: (2013)

Electric Motors and Drives
por: Hughes, Austin
Publicado: (2013)

Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature
por: Kim, Jihyun, et al.
Publicado: (2017)

Corrigendum to “Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature”
por: Kim, Jihyun, et al.
Publicado: (2018)

Background Load Denoising across Complex Load Based on Generative Adversarial Network to Enhance Load Identification
por: Mukaroh, Afifatul, et al.
Publicado: (2020)

Temperature Prediction Based on Bidirectional Long Short-Term Memory and Convolutional Neural Network Combining Observed and Numerical Forecast Data
por: Jeong, Seongyoep, et al.
Publicado: (2021)

Hyperthermia impairs short-term memory and peripheral motor drive transmission
por: Racinais, S, et al.
Publicado: (2008)

Classification and Explanation for Intrusion Detection System Based on Ensemble Trees and SHAP Method
por: Le, Thi-Thu-Huong, et al.
Publicado: (2022)

Electricity Load and Price Forecasting Using Jaya-Long Short Term Memory (JLSTM) in Smart Grids
por: Khalid, Rabiya, et al.
Publicado: (2019)

Bidirectional competitive interactions between motor memory and declarative memory during interleaved learning
por: Kim, Sungshin
Publicado: (2020)

Infection-generated electric field in gut epithelium drives bidirectional migration of macrophages
por: Sun, Yaohui, et al.
Publicado: (2019)

Time Series Forecasting of Motor Bearing Vibration Based on Informer
por: Yang, Zhengqiang, et al.
Publicado: (2022)

Electric load forecasting based on Long-Short-Term-Memory network via simplex optimizer during COVID-19
por: Li, Xiaole, et al.
Publicado: (2022)

Electric motors and drives: fundamentals, types and applications
por: Hughes, Austin, et al.
Publicado: (2013)

Electric Motors and Drives: Fundamentals, Types and Applications
por: Hughes, Austin
Publicado: (2005)

Electric motors and drives: fundamentals, types and applications
por: Hughes, Austin, et al.
Publicado: (2019)

Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
por: Moon, Jihoon, et al.
Publicado: (2022)

Forecasting Short-Term Electricity Load with Combinations of Singular Spectrum Analysis
por: Zhang, Xiaobo
Publicado: (2022)

Protein remote homology detection based on bidirectional long short-term memory
por: Li, Shumin, et al.
Publicado: (2017)

Application of bidirectional long short-term memory network for prediction of cognitive age
por: Wong, Shi-Bing, et al.
Publicado: (2023)

E-motor Types for Secondary Electric Drives in Comparison
por: Neß, Werner, et al.
Publicado: (2022)

An adaptive particle swarm optimization-based hybrid long short-term memory model for stock price time series forecasting
por: Kumar, Gourav, et al.
Publicado: (2022)

Developing a hybrid time-series artificial intelligence model to forecast energy use in buildings
por: Ngo, Ngoc-Tri, et al.
Publicado: (2022)

Ensemble deep learning models for protein secondary structure prediction using bidirectional temporal convolution and bidirectional long short-term memory
por: Yuan, Lu, et al.
Publicado: (2023)

Identifying the impact of the COVID-19 pandemic on driving behavior using naturalistic driving data and time series forecasting
por: Katrakazas, Christos, et al.
Publicado: (2021)

Image Captioning with Bidirectional Semantic Attention-Based Guiding of Long Short-Term Memory
por: Cao, Pengfei, et al.
Publicado: (2019)

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles
por: Huang, Chenn-Jung, et al.
Publicado: (2023)

Attention-based bidirectional-long short-term memory for abnormal human activity detection
por: Kumar, Manoj, et al.
Publicado: (2023)

Interpolating Nonadiabatic Molecular Dynamics Hamiltonian with Bidirectional Long Short-Term Memory Networks
por: Wang, Bipeng, et al.
Publicado: (2023)

Deep Feature Mining via the Attention-Based Bidirectional Long Short Term Memory Graph Convolutional Neural Network for Human Motor Imagery Recognition
por: Hou, Yimin, et al.
Publicado: (2022)

Time-series forecasting /
por: Chatfield, Christopher
Publicado: (2000)

Time-Series Forecasting
por: Chatfield, Chris
Publicado: (2000)

Forecasting electric vehicles sales with univariate and multivariate time series models: The case of China
por: Zhang, Yong, et al.
Publicado: (2017)

Design and optimization of dual-motor electric tractor drive system based on driving cycles
por: Zhang, Junjiang, et al.
Publicado: (2023)

Seemingly unrelated time series model for forecasting the peak and short-term electricity demand: Evidence from the Kalman filtered Monte Carlo method
por: Owusu, Frank Kofi, et al.
Publicado: (2023)

IoT and Ensemble Long-Short-Term-Memory-Based Evapotranspiration Forecasting for Riyadh
por: Nauman, Muhammad Asif, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_qocr762osqlstmol0gvs52at2k