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Showing 1 to 11 of 11 for “"Smart meter data"”.

  1. Residential Demand Response using Electricity Smart Meter Data

    … Decentralisation, and Decarbonisation. Smart meters are the vital infrastructure necessary to digitalise the energy system as well as enable advancements in decentralisation and decarbonisation. As of today, more than 500 million smart meters have been installed worldwide, with that …

    cambridge Repository record for Residential Demand Response using Electricity Smart Meter Data (opens in a new tab)

  2. Exploring urban activity patterns using electric smart meter data

    This thesis uses electricity consumption data from household and enterprise-level smart meters in County B, Country A, and Turin, Italy, to explore temporal and geographic variations in urban energy consumption and thus urban activity. A central question is whether electricity consumption patterns …

    mit Repository record for Exploring urban activity patterns using electric smart meter data (opens in a new tab)

  3. Smart Meter Data-Driven Fault Location Algorithm in Distribution Systems

    … algorithm that utilizes modern devices such as, smart meters, phasors measurement units (PMUs) and Fault Current Indicator (FIs).The IEEE-123 bus system is used to demonstrate the proposed algorithm. Data from the smart meters and the PMUs were utilized for all the voltage and current …

    unr Repository record for Smart Meter Data-Driven Fault Location Algorithm in Distribution Systems (opens in a new tab)

  4. Essays on Residential Electricity Consumption Profiles: Weather Effects and Household Behaviour Patterns

    The high temporal resolution data created by smart metering, which has now been deployed in many countries, provides an unprecedented opportunity to examine household consumption behaviour in narrow time windows, whereas past studies could only look at monthly or even yearly consumption. However, …

    cambridge Repository record for Essays on Residential Electricity Consumption Profiles: Weather Effects and Household Behaviour Patterns (opens in a new tab)

  5. Study of an innovative non intrusive load monitoring system for energy emancipation of domestic users: hardware and ICT optimized solutions

    … consumption into its contributing appliances. Smart meters are currently being deployed on national scales, providing a platform to collect aggregate household electricity consumption data. Existing approaches to NIALM require a manual training phase in which either sub-metered appliance data

    catania Repository record for Study of an innovative non intrusive load monitoring system for energy emancipation of domestic users: hardware and ICT optimized solutions (opens in a new tab)

  6. Electricity use in urban households in China: occupancy patterns, attitudes, and policy initiatives

    … use behaviour; 3) the lack of research in using data-mining techniques to extract energy use related occupancy patterns from smart meter data. To address these gaps, this thesis focuses on three research dimensions, namely the practical dimension, the policy dimension, and the theoretical …

    cambridge Repository record for Electricity use in urban households in China: occupancy patterns, attitudes, and policy initiatives (opens in a new tab)

  7. Disaggregation and classification of residential water events from high-resolution smart water meter data using unsupervised machine learning methods

    … This study analyzed 1-second resolution smart water meter data from a 4-person household over the course of one year. The smart meter data were disaggregated using derivative signals of the influent water flow rate at the water main entrance to the home to identify start and end times of …

    uiuc Repository record for Disaggregation and classification of residential water events from high-resolution smart water meter data using unsupervised machine learning methods (opens in a new tab)

  8. Data-driven customer energy behavior characterization for distributed energy management

    … operational analytics on the wealth of energy data from customers and devices. In this dissertation, we focus on data-driven solutions for customer energy behavior characterization with applications to distributed energy management and flexibility provision. To do so, the following problems …

    vt Repository record for Data-driven customer energy behavior characterization for distributed energy management (opens in a new tab)

  9. Enabling Communication and Networking Technologies for Smart Grid

    Transforming the aging electric grid to a smart grid is an active area of research in industry and the government. One of the main objectives of the smart grid is to improve the efficiency of power generation, transmission and distribution and also to improve the stability and the reliability of …

    vt Repository record for Enabling Communication and Networking Technologies for Smart Grid (opens in a new tab)

  10. Leveraging data-driven decision support to enhance flexibility resources adoption in industrial energy systems

    … strategies. The research primarily focuses on data-driven approaches to enhance demand response (DR) participation of industrial consumers, distributed energy resource (DER) selection for industrial sites, and the evaluation of battery energy storage systems (BESS) profitability for industrial …

    cork Repository record for Leveraging data-driven decision support to enhance flexibility resources adoption in industrial energy systems (opens in a new tab)

  11. Estimation of residential space conditioning parameters using smart electricity meter data

    Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-15 without embargo terms

    uiuc Repository record for Estimation of residential space conditioning parameters using smart electricity meter data (opens in a new tab)