Hao et al., 2013 - Google Patents
Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualizationHao et al., 2013
- Document ID
- 9953305840765157425
- Author
- Hao M
- Marwah M
- Mittelstädt S
- Janetzko H
- Keim D
- Dayal U
- Bash C
- Felix C
- Patel C
- Hsu M
- Chen Y
- Hund M
- Publication year
- Publication venue
- Visualization and Data Analysis 2013
External Links
Snippet
Cyber physical systems (CPS), such as smart buildings and data centers, are richly instrumented systems composed of tightly coupled computational and physical elements that generate large amounts of data. To explore CPS data and obtain actionable insights, we …
- 230000000007 visual effect 0 title abstract description 9
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F3/00—Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
- G06F3/01—Input arrangements or combined input and output arrangements for interaction between user and computer
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA 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
- G06Q30/00—Commerce, e.g. shopping or e-commerce
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Sanchez-Hidalgo et al. | A survey on visual data representation for smart grids control and monitoring | |
Arbesser et al. | Visplause: Visual data quality assessment of many time series using plausibility checks | |
Janetzko et al. | Anomaly detection for visual analytics of power consumption data | |
Hao et al. | A visual analytics approach for peak‐preserving prediction of large seasonal time series | |
US20220299230A1 (en) | Building energy management system with energy analytics | |
Rashid | AMI smart meter big data analytics for time series of electricity consumption | |
Fan et al. | A graph mining-based methodology for discovering and visualizing high-level knowledge for building energy management | |
Choksi et al. | Feature based clustering technique for investigation of domestic load profiles and probabilistic variation assessment: Smart meter dataset | |
WO2017071613A1 (en) | Resource consumption monitoring system, platform and method | |
Yu et al. | Pricing information in smart grids: A quality-based data valuation paradigm | |
Zhu et al. | Hybrid-order representation learning for electricity theft detection | |
Lai et al. | Application of big data in smart grid | |
CN109409561A (en) | The construction method of Multiple Time Scales time series collaborative forecasting model | |
Ma et al. | Review of power spatio-temporal big data technologies for mobile computing in smart grid | |
Lu et al. | ElectricVIS: Visual analysis system for power supply data of smart city | |
Jaradat et al. | Smart home energy visualizer: a fusion of data analytics and information visualization | |
Hao et al. | UrbanVLP: A Multi-Granularity Vision-Language Pre-Trained Foundation Model for Urban Indicator Prediction | |
US20150035833A1 (en) | Visual Analytics of Temporal-spatial Relationships Using a Hierarchical Pixel Calendar Tree | |
Iram et al. | Connecting to smart cities: Analyzing energy times series to visualize monthly electricity peak load in residential buildings | |
Hao et al. | Visual analytics of cyber physical data streams using spatio-temporal radial pixel visualization | |
Andrienko et al. | Extracting events from spatial time series | |
JP6995701B2 (en) | System cross-section data management device and method | |
Nsonga et al. | Extreme weather and the power grid: A case study of winter storm uri | |
KR102635460B1 (en) | Method and apparatus for analyzing abnormal production based on phothovoltaic remote monitoring | |
Dayal et al. | al Analy g Spatio |