Cargando…

Nonintrusive Load Monitoring Based on Advanced Deep Learning and Novel Signature

Monitoring electricity consumption in the home is an important way to help reduce energy usage. Nonintrusive Load Monitoring (NILM) is existing technique which helps us monitor electricity consumption effectively and costly. NILM is a promising approach to obtain estimates of the electrical power co...

Descripción completa

Detalles Bibliográficos
Autores principales:	Kim, Jihyun, Le, Thi-Thu-Huong, Kim, Howon
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Hindawi 2017
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651160/ https://www.ncbi.nlm.nih.gov/pubmed/29118809 http://dx.doi.org/10.1155/2017/4216281

Ejemplares similares

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)

Semi-Supervised Domain Adaptation for Multi-Label Classification on Nonintrusive Load Monitoring
por: Hur, Cheong-Hwan, et al.
Publicado: (2022)

A Field Study of Nonintrusive Load Monitoring Devices and Implications for Load Disaggregation
por: Mayhorn, Ebony, et al.
Publicado: (2023)

Explainability-Informed Feature Selection and Performance Prediction for Nonintrusive Load Monitoring †
por: Mollel, Rachel Stephen, et al.
Publicado: (2023)

Nonintrusive Appliance Load Monitoring: An Overview, Laboratory Test Results and Research Directions
por: Wójcik, Augustyn, et al.
Publicado: (2019)

Few-Shot Learning for Image-Based Nonintrusive Appliance Signal Recognition
por: Matindife, L., et al.
Publicado: (2022)

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

Time Series Electrical Motor Drives Forecasting Based on Simulation Modeling and Bidirectional Long-Short Term Memory
por: Le, Thi-Thu-Huong, et al.
Publicado: (2023)

A Chair-Based Unconstrained/Nonintrusive Cuffless Blood Pressure Monitoring System Using a Two-Channel Ballistocardiogram
por: Lee, Kwang Jin, et al.
Publicado: (2019)

Evaluation of Fear Using Nonintrusive Measurement of Multimodal Sensors
por: Choi, Jong-Suk, et al.
Publicado: (2015)

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

The Use of Terrestrial and Maritime Autonomous Vehicles in Nonintrusive Object Inspection
por: Mamchur, Dmytro, et al.
Publicado: (2022)

Ion trap and release dynamics enables nonintrusive tactile augmentation in monolithic sensory neuron
por: Kweon, Hyukmin, et al.
Publicado: (2023)

Noncontact and Nonintrusive Microwave-Microfluidic Flow Sensor for Energy and Biomedical Engineering
por: Zarifi, Mohammad Hossein, et al.
Publicado: (2018)

Nonintrusive Fine-Grained Home Care Monitoring: Characterizing Quality of In-Home Postural Changes Using Bone-Based Human Sensing
por: Chen, Sinan, et al.
Publicado: (2020)

Radioisotope Identification and Nonintrusive Depth Estimation of Localized Low-Level Radioactive Contaminants Using Bayesian Inference
por: Kim, Jinhwan, et al.
Publicado: (2019)

Use of nonintrusive sensor-based information and communication technology for real-world evidence for clinical trials in dementia
por: Teipel, Stefan, et al.
Publicado: (2018)

Heart Health Risk Assessment System: A Nonintrusive Proposal Using Ontologies and Expert Rules
por: Garcia-Valverde, Teresa, et al.
Publicado: (2014)

Integration of Ground- Penetrating Radar and Gamma-Ray Detectors for Nonintrusive Characterisation of Buried Radioactive Objects
por: Ukaegbu, Ikechukwu K., et al.
Publicado: (2019)

Ultraviolet Absorption Cross-Sections of Ammonia at Elevated Temperatures for Nonintrusive Quantitative Detection in Combustion Environments
por: Weng, Wubin, et al.
Publicado: (2021)

Deep Learning-Based Non-Intrusive Commercial Load Monitoring
por: Zhou, Mengran, et al.
Publicado: (2022)

Nonintrusive Finger-Vein Recognition System Using NIR Image Sensor and Accuracy Analyses According to Various Factors
por: Pham, Tuyen Danh, et al.
Publicado: (2015)

Ultraviolet Absorption Cross Sections of KOH and KCl for Nonintrusive Species-Specific Quantitative Detection in Hot Flue Gases
por: Weng, Wubin, et al.
Publicado: (2019)

Comparison of machine learning and deep learning-based methods for locomotion mode recognition using a single inertial measurement unit
por: Vu, Huong Thi Thu, et al.
Publicado: (2022)

An Intra-Subject Approach Based on the Application of HMM to Predict Concentration in Educational Contexts from Nonintrusive Physiological Signals in Real-World Situations
por: Serrano-Mamolar, Ana, et al.
Publicado: (2021)

A multifidelity approach coupling parameter space reduction and nonintrusive POD with application to structural optimization of passenger ship hulls
por: Tezzele, Marco, et al.
Publicado: (2022)

Co-financing for viral load monitoring during the course of antiretroviral therapy among patients with HIV/AIDS in Vietnam: A contingent valuation survey
por: Nguyen, Quyen Le Thi, et al.
Publicado: (2017)

Static Load Characteristics of Hydrostatic Journal Bearings: Measurements and Predictions
por: Yi, Howon, et al.
Publicado: (2022)

Flamingo-Optimization-Based Deep Convolutional Neural Network for IoT-Based Arrhythmia Classification
por: Kumar, Ashwani, et al.
Publicado: (2023)

Privacy-preserving household load forecasting based on non-intrusive load monitoring: A federated deep learning approach
por: Zhou, Xinxin, et al.
Publicado: (2022)

ED-FNN: A New Deep Learning Algorithm to Detect Percentage of the Gait Cycle for Powered Prostheses
por: Vu, Huong Thi Thu, et al.
Publicado: (2018)

Assessment of HIV viral load monitoring in remote settings in Vietnam - comparing people who inject drugs to the other patients
por: Lefrancois, Louise H., et al.
Publicado: (2023)

A Machine Learning Approach for Detecting Digital Behavioral Patterns of Depression Using Nonintrusive Smartphone Data (Complementary Path to Patient Health Questionnaire-9 Assessment): Prospective Observational Study
por: Choudhary, Soumya, et al.
Publicado: (2022)

Dam Safety Evaluation Method after Extreme Load Condition Based on Health Monitoring and Deep Learning
por: Song, Jintao, et al.
Publicado: (2023)

Factors influencing the E-learning system usage during the COVID-19 pandemic in Vietnam
por: Do, Thang Xuân, et al.
Publicado: (2022)

Feasibility of dried blood spots for HIV viral load monitoring in decentralized area in North Vietnam in a test-and-treat era, the MOVIDA project
por: Nguyen, Tuan Anh, et al.
Publicado: (2020)

Small Private Key [Image: see text] PKS on an Embedded Microprocessor
por: Seo, Hwajeong, et al.
Publicado: (2014)

Relative socioeconomic advantage and mood during advanced pregnancy in women in Vietnam
por: Fisher, Jane RW, et al.
Publicado: (2007)

Postpartum Depression and Risk Factors among Vietnamese Women
por: Do, Thi Kim Ly, et al.
Publicado: (2018)

Cannot write session to /tmp/vufind_sessions/sess_5jrpihcf9o61m96rqqu7ql6tm7