Nothing Special   »   [go: up one dir, main page]

Ramadan et al., 2023 - Google Patents

Towards energy‐efficient smart homes via precise nonintrusive load disaggregation based on hybrid ANN–PSO

Ramadan et al., 2023

View PDF @Full View
Document ID
16103948950442601061
Author
Ramadan R
Huang Q
Bamisile O
Zalhaf A
Mahmoud K
Lehtonen M
Darwish M
Publication year
Publication venue
Energy Science & Engineering

External Links

Snippet

Nowadays, the load monitoring system is an important element in smart buildings to reduce energy consumption. Nonintrusive load monitoring (NILM) is utilized to determine the power consumption of each appliance in smart homes. The main problem of NILM is how to …
Continue reading at scijournals.onlinelibrary.wiley.com (PDF) (other versions)

Classifications

    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/30Smart metering
    • Y04S20/32Systems characterised by remote reading
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S20/00Systems supporting the management or operation of end-user stationary applications, including also the last stages of power distribution and the control, monitoring or operating management systems at local level
    • Y04S20/20End-user application control systems
    • Y04S20/24The system characterised by the end-user application
    • Y04S20/242The system characterised by the end-user application the end-user application being or involving home appliances
    • Y04S20/244The system characterised by the end-user application the end-user application being or involving home appliances the home appliances being or involving heating ventilating and air conditioning [HVAC] units
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S40/00Communication or information technology specific aspects supporting electrical power generation, transmission, distribution or end-user application management
    • Y04S40/20Information technology specific aspects
    • Y04S40/22Computer aided design [CAD]; Simulation; Modelling
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BINDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as enabling technology in buildings sector
    • Y02B90/24Smart metering mediating in the carbon neutral operation of end-user applications in buildings
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02BINDEXING SCHEME RELATING TO CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO BUILDINGS, e.g. INCLUDING HOUSING AND APPLIANCES OR RELATED END-USER APPLICATIONS
    • Y02B90/00Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
    • Y02B90/20Systems integrating technologies related to power network operation and communication or information technologies mediating in the improvement of the carbon footprint of the management of residential or tertiary loads, i.e. smart grids as enabling technology in buildings sector
    • Y02B90/26Communication technology specific aspects
    • Y02B90/2607Details of the transmission structure or support between the monitoring, controlling or managing units and monitored, controlled or operated electrical equipment
    • 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
    • G06Q50/00Systems or methods specially adapted for a specific business sector, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply

Similar Documents

Publication Publication Date Title
Devlin et al. Non-intrusive load monitoring and classification of activities of daily living using residential smart meter data
Giaconi et al. Privacy-aware smart metering: Progress and challenges
Qi et al. Smart meter data-driven evaluation of operational demand response potential of residential air conditioning loads
Aladesanmi et al. Overview of non-intrusive load monitoring and identification techniques
Berges et al. User-centered nonintrusive electricity load monitoring for residential buildings
AU2014207369B2 (en) Applications of non-intrusive load monitoring and solar energy disaggregation
Basu et al. Residential appliance identification and future usage prediction from smart meter
Batra et al. Gemello: Creating a detailed energy breakdown from just the monthly electricity bill
Batra et al. Matrix factorisation for scalable energy breakdown
Adabi et al. Status and challenges of residential and industrial non-intrusive load monitoring
Ramadan et al. Towards energy‐efficient smart homes via precise nonintrusive load disaggregation based on hybrid ANN–PSO
Jaaz et al. A review on energy-efficient smart home load forecasting techniques
Azizi et al. Residential energy flexibility characterization using non-intrusive load monitoring
Wills et al. Adaptation and validation of an existing bottom-up model for simulating temporal and inter-dwelling variations of residential appliance and lighting demands
Cruz et al. Pattern-driven behaviour for demand-side management: An analysis of appliance use
Jaramillo et al. Distributed energy resources electric profile identification in low voltage networks using supervised machine learning techniques
Monawwar et al. Investigating demand-side management (dsm) opportunities using load profiling: The case of qatar
Bâra et al. Electricity consumption and generation forecasting with artificial neural networks
Ząbkowski et al. Grade analysis for energy usage patterns segmentation based on smart meter data
Sethi et al. Optimal energy m anagement of s mart b uildings under cyber attack
Yang et al. A non-intrusive carbon emission accounting method for industrial corporations from the perspective of modern power systems
Wang et al. Investigating the deviation between prediction accuracy metrics and control performance metrics in the context of an ice-based thermal energy storage system
Golovinski et al. Electricity consumption forecast of clusters of buildings based on recurrent neural networks
Latif et al. Analytics of residential electrical energy profile
Thokala et al. An effective electrical load disaggregation approach for low-sampled smart meter data