相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Non-intrusive load monitoring using multi-label classification methods
Ding Li et al.
ELECTRICAL ENGINEERING (2021)
Tracking Control of Pneumatic Artificial Muscle-Activated Robot Arm Based on Sliding-Mode Control
Chih-Jer Lin et al.
ACTUATORS (2021)
Automatic Implementation of a Self-Adaption Non-Intrusive Load Monitoring Method Based on the Convolutional Neural Network
Xin Wu et al.
PROCESSES (2020)
Fuzzy-Based Approach Using IoT Devices for Smart Home to Assist Blind People for Navigation
Shahzadi Tayyaba et al.
SENSORS (2020)
Artificial Intelligence, Accelerated in Parallel Computing and Applied to Nonintrusive Appliance Load Monitoring for Residential Demand-Side Management in a Smart Grid: A Comparative Study
Yu-Chen Hu et al.
APPLIED SCIENCES-BASEL (2020)
Non-Intrusive Monitoring Algorithm for Resident Loads with Similar Electrical Characteristic
Sheng Wu et al.
PROCESSES (2020)
New Design of a Supervised Energy Disaggregation Model Based on the Deep Neural Network for a Smart Grid
Ismail Hakki Cavdar et al.
ENERGIES (2019)
Application of Data Mining in an Intelligent Early Warning System for Rock Bursts
Xuejun Zhu et al.
PROCESSES (2019)
Multi-Label Classification Based on Random Forest Algorithm for Non-Intrusive Load Monitoring System
Xin Wu et al.
PROCESSES (2019)
An Integration Method Using Kernel Principal Component Analysis and Cascade Support Vector Data Description for Pipeline Leak Detection with Multiple Operating Modes
Mengfei Zhou et al.
PROCESSES (2019)
Identification of the electrical load by C-means from non-intrusive monitoring of electrical signals in non-residential buildings
Emmanuel Guillen-Garcia et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
A Supervised Event-Based Non-Intrusive Load Monitoring for Non-Linear Appliances
Zhuang Zheng et al.
SUSTAINABILITY (2018)
IoT Operating System Based Fuzzy Inference System for Home Energy Management System in Smart Buildings
Qurat-ul Ain et al.
SENSORS (2018)
An Efficient Power Scheduling in Smart Homes Using Jaya Based Optimization with Time-of-Use and Critical Peak Pricing Schemes
Omaji Samuel et al.
ENERGIES (2018)
Electrical Energy Management Based on a Hybrid Artificial Neural Network-Particle Swarm Optimization-Integrated Two-Stage Non-Intrusive Load Monitoring Process in Smart Homes
Yu-Hsiu Lin et al.
PROCESSES (2018)
A Smart Home Energy Management System Using IoT and Big Data Analytics Approach
A. R. Al-Ali et al.
IEEE TRANSACTIONS ON CONSUMER ELECTRONICS (2017)
On a Training-Less Solution for Non-Intrusive Appliance Load Monitoring Using Graph Signal Processing
Bochao Zhao et al.
IEEE ACCESS (2016)
The UK-DALE dataset, domestic appliance-level electricity demand and whole-house demand from five UK homes
Jack Kelly et al.
SCIENTIFIC DATA (2015)
Demand Side Management for Stand-Alone Hybrid Power Systems Based on Load Identification
Felix Iglesias Vazquez et al.
ENERGIES (2012)
Non-Intrusive Demand Monitoring and Load Identification for Energy Management Systems Based on Transient Feature Analyses
Hsueh-Hsien Chang
ENERGIES (2012)
A New Measurement Method for Power Signatures of Nonintrusive Demand Monitoring and Load Identification
Hsueh-Hsien Chang et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2012)
分享论文
