[go: up one dir, main page]

Momtazpour et al., 2015 - Google Patents

Analyzing invariants in cyber-physical systems using latent factor regression

Momtazpour et al., 2015

View PDF
Document ID
15562619823023290773
Author
Momtazpour M
Zhang J
Rahman S
Sharma R
Ramakrishnan N
Publication year
Publication venue
Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining

External Links

Snippet

The analysis of large scale data logged from complex cyber-physical systems, such as microgrids, often entails the discovery of invariants capturing functional as well as operational relationships underlying such large systems. We describe a latent factor …
Continue reading at dl.acm.org (PDF) (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/50Computer-aided design
    • G06F17/5009Computer-aided design using simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30705Clustering or classification
    • G06F17/3071Clustering or classification including class or cluster creation or modification
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F11/00Error detection; Error correction; Monitoring
    • G06F11/30Monitoring
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models

Similar Documents

Publication Publication Date Title
Gao et al. A physically inspired data-driven model for electricity theft detection with smart meter data
Momtazpour et al. Analyzing invariants in cyber-physical systems using latent factor regression
Deka et al. Graphical models in meshed distribution grids: Topology estimation, change detection & limitations
Deka et al. Structure learning in power distribution networks
Stergiopoulos et al. Time-based critical infrastructure dependency analysis for large-scale and cross-sectoral failures
Deka et al. Estimating distribution grid topologies: A graphical learning based approach
Li et al. Dynamic graph-based anomaly detection in the electrical grid
Deka et al. Learning topology of the power distribution grid with and without missing data
EP3704502A1 (en) System and method for anomaly detection in an electrical network
Yang et al. Monitoring data factorization of high renewable energy penetrated grids for probabilistic static voltage stability assessment
CN105721207A (en) Method and device for determining importance of communication nodes in power communication network
Deka et al. Structure learning and statistical estimation in distribution networks-part i
Messinis et al. Unsupervised classification for non-technical loss detection
Toshpulatov et al. Anomaly detection on smart meters using hierarchical self organizing maps
Buriticá Cortés et al. A hierarchy-based approach to seismic vulnerability assessment of bulk power systems
Wang et al. Free probability theory based event detection for power grids using iot-enabled measurements
Ni et al. Ranking causal anomalies by modeling local propagations on networked systems
Elnour et al. Eigenvector centrality-enhanced graph network for attack detection in power distribution systems
Anderson et al. Distribution system bad data detection using graph signal processing
Wang et al. A framework for the network-based assessment of system dynamic resilience
Nakarmi et al. Interaction graphs for reliability analysis of power grids: A survey
Shettar et al. Blackout prediction in smart grids using machine learning
Eddin et al. Enhanced locational fdia detection in smart grids: A scalable distributed framework
Atif et al. Cyber-threat analysis for Cyber-Physical Systems: Technical report for Package 4, Activity 3 of ELVIRA project
Cao et al. A random matrix theoretical approach to early event detection using experimental data