Instruct: Given the title of a scientific paper, retrieve paper titles that are cited by the given paper.
Query: A Survey on Non-Intrusive Load Monitoring Methodies and Techniques for Energy Disaggregation Problem
Sequence-to-point learning with neural networks for nonintrusive load monitoring
Privacy for Smart Meters: Towards Undetectable Appliance Load Signatures
Viterbi algorithm with sparse transitions (VAST) for nonintrusive load monitoring
Control of distributed generation systems - Part II: Load sharing control
System-level power estimation and optimization
Energy theft in the advanced metering infrastructure
Alleviating Solar Energy Congestion in the Distribution Grid via Smart Metering Communications
Smart Electricity Meter Data Intelligence for Future Energy Systems: A Survey
BLUED : A Fully Labeled Public Dataset for Event-Based Non-Intrusive Load Monitoring Research
Neural NILM: Deep Neural Networks Applied to Energy Disaggregation
NILMTK: an open source toolkit for non-intrusive load monitoring
Real-Time Energy Management in Microgrids
Identifying Daily Electric Consumption Patterns from Smart Meter Data by Means of Clustering Algorithms
Distribution System Topology Detection Using Consumer Load and Line Flow Measurements
Load peak shaving and power smoothing of a distribution grid with high renewable energy penetration
Demand-Side Management via Distributed Energy Generation and Storage Optimization
Nonintrusive load monitoring (NILM) using an Artificial Neural Network in embedded system with low sampling rate
Supero: A sensor system for unsupervised residential power usage monitoring
A comparative analysis of smart metering data aggregation performance
BOLT: Energy Disaggregation by Online Binary Matrix Factorization of Current Waveforms
An Efficient Algorithm for Easy-First Non-Directional Dependency Parsing
Data management and analysis methods.
Investigating Time Series Visualisations to Improve the User Experience
Algae as nutritional and functional food sources: revisiting our understanding
Approximate Inference in Additive Factorial HMMs with Application to Energy Disaggregation