Instruct: Given a scientific paper title, retrieve paper titles that are cited by the given paper.
Query: Nonintrusive Load Monitoring ( NILM ) Performance Evaluation A unified approach for accuracy reporting
Non-intrusive load monitoring using prior models of general appliance types
A Scalable Non-intrusive Load Monitoring System for Fridge-Freezer Energy Efficiency Estimation
Deep Sparse Coding for Non–Intrusive Load Monitoring
Non-intrusive Load Monitoring Using Imaging Time Series and Convolutional Neural Networks
Non-intrusive Load Monitoring for Home Energy Usage with Multiple Power States Recognition
Sequence-to-point learning with neural networks for nonintrusive load monitoring
Exploiting the Reactive Power in Deep Neural Models for Non-Intrusive Load Monitoring
BLUED : A Fully Labeled Public Dataset for Event-Based Non-Intrusive Load Monitoring Research
Enhancing Electricity Audits in Residential Buildings with Nonintrusive Load Monitoring
Viterbi algorithm with sparse transitions (VAST) for nonintrusive load monitoring
Non-Intrusive Appliance Load Identification with the Ensemble of Classifiers
Non-intrusive Zigbee power meter for load monitoring in smart buildings
On-line monitoring of power curves
Non-Intrusive Load Disaggregation Using Graph Signal Processing
High Precision Load Current Sensing Using On-Line Calibration of Trace Resistance
Short-term load forecasting methods: A review
Terna's approach for on-line monitoring system: Intelligent management of assets in a large scale infrastructures
Non-Intrusive Signature Extraction for Major Residential Loads
Electrical load forecasting models: a critical systematic review
A regenerative load system for the test of Intel VRM 9.1 compliant modules
Household-Level Determinants of Soil and Water Conservation Adoption Phases: Evidence from North-Western Ethiopian Highlands
Automatic TFT-LCD mura detection based on image reconstruction and processing
Epidemic of charcoal burning suicide in Japan
Sequential Recommendation with User Memory Networks
The Pascal Visual Object Classes (VOC) Challenge