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- ArticleOctober 2024
Hardware-in-The-Loop-Based Validation of Distribution System Control Applications with Grid Operators, Customer and Market Participants
AbstractThe flexibility potential of electric vehicles, heat pumps, photovoltaics, and storage systems allocated at customer premises raises attention to grid-serving and market-serving control applications. However, control applications vary as the kind ...
- research-articleJanuary 2024
Multi-task learning neural network for monitoring and diagnosis of smart meters in power IoT systems
International Journal of Wireless and Mobile Computing (IJWMC), Volume 27, Issue 2Pages 125–132https://doi.org/10.1504/ijwmc.2024.140269With the continuous development of power Internet of Things (IoT) technology, the scale and complexity of power systems are increasing, and the safe operation of power IoT systems is facing challenges. In this paper, an intelligent safety monitoring and ...
- research-articleAugust 2023
Localized Differential Privacy-based Data Privacy Protection Scheme for Home Smart Meters
ICCAI '23: Proceedings of the 2023 9th International Conference on Computing and Artificial IntelligencePages 595–599https://doi.org/10.1145/3594315.3594377The data collected by the smart meter involves the user’s privacy, and there is a significant security risk in sending it to the cloud for statistical analysis. Therefore, this article proposes a localized differential privacy-based privacy protection ...
- research-articleDecember 2022
Trimming outliers using trees: winning solution of the large-scale energy anomaly detection (LEAD) competition
BuildSys '22: Proceedings of the 9th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationPages 456–461https://doi.org/10.1145/3563357.3566147Prediction of building energy consumption using machine learning models has been a focal point of research for decades. However, some causes of forecast errors, particularly data quality, have not been adequately addressed, which may affect the accuracy ...
- short-paperNovember 2021
Identifying the relationship between seasonal variation in residential load and socioeconomic characteristics
BuildSys '21: Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and TransportationPages 160–163https://doi.org/10.1145/3486611.3486645Smart meter data analysis can provide insights into residential electricity consumption behaviors. Seasonal variation in consumption is not well understood but yet important to utilities for energy pricing and services. This paper aims to develop a ...
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- short-paperJune 2021
Disaggregating Solar Generation Using Smart Meter Data and Proxy Measurements from Neighbouring Sites
e-Energy '21: Proceedings of the Twelfth ACM International Conference on Future Energy SystemsPages 225–230https://doi.org/10.1145/3447555.3464856This paper investigates the problem of disaggregating solar generation from smart meter data when historical disaggregated data from the target home is unavailable and deployment characteristics of the PV system are unknown. The proposed method takes ...
- short-paperApril 2021
Privacy Protection of Grid Users Data with Blockchain and Adversarial Machine Learning
SAT-CPS '21: Proceedings of the 2021 ACM Workshop on Secure and Trustworthy Cyber-Physical SystemsPages 33–38https://doi.org/10.1145/3445969.3450431Utilities around the world are reported to invest a total of around \$30 billion over the next few years for installation of more than 300 million smart meters, replacing traditional analog meters \citeinfo. By mid-decade, with full country wide ...
- research-articleMarch 2021
Smart meter‐based home energy report: Design and operation of automatic generation system of hourly usage indication message
Electronics and Communications in Japan (WECJ), Volume 104, Issue 1Pages 74–86https://doi.org/10.1002/ecj.12282AbstractHome Energy Report (HER) is gathering attention as a method to promote energy conservation behavior in residential sector. Most of the existing efforts about HER assume the use of total monthly usage data. These usually compare customers’ monthly ...
- research-articleNovember 2020
Non-Intrusive Load Monitoring of Water Heaters Using Low-Resolution Data
NILM'20: Proceedings of the 5th International Workshop on Non-Intrusive Load MonitoringPages 54–58https://doi.org/10.1145/3427771.3427853Electric water heaters consume approximately 19% of the total energy in residential buildings and may be used as virtual batteries to provide a variety of ancillary services for the electric grid. With the proliferation of advanced metering ...
- research-articleNovember 2020
Inferring Energy Consumption Patterns in Public Buildings
PE-WASUN '20: Proceedings of the 17th ACM Symposium on Performance Evaluation of Wireless Ad Hoc, Sensor, & Ubiquitous NetworksPages 33–39https://doi.org/10.1145/3416011.3424753The advent of smart meters have radically changed the mechanisms traditionally used for energy consumption monitoring. The possibility of having (i) highly frequent readings (even every minute); (ii) accurate energy data gathering; and (iii) real time ...
- research-articleAugust 2020
Numerical modeling and assessment of human exposure to radiofrequency electromagnetic fields used for wireless communication system installed on a smart meter
Electronics and Communications in Japan (WECJ), Volume 103, Issue 9Pages 3–14https://doi.org/10.1002/ecj.12257AbstractWe assessed human exposure to radiofrequency (RF) electromagnetic fields used for a wireless communication system installed on a smart meter for communication in the 920 MHz band. In an exposure guideline, the specific absorption rate (SAR) is ...
- research-articleJuly 2020
TinTiN: Travelling in time (if necessary) to deal with out-of-order data in streaming aggregation
DEBS '20: Proceedings of the 14th ACM International Conference on Distributed and Event-based SystemsPages 141–152https://doi.org/10.1145/3401025.3401769Cyber-Physical Systems (CPS) rely on data stream processing for high-throughput, low-latency analysis with correctness and accuracy guarantees (building on deterministic execution) for monitoring, safety or security applications. The trade-offs in ...
- short-paperJuly 2020
Real-time detection of smart meter events with odysseus
DEBS '20: Proceedings of the 14th ACM International Conference on Distributed and Event-based SystemsPages 193–198https://doi.org/10.1145/3401025.3401757The energy grid is changing rapidly to include volatile, renewable energy sources to help achieve climate goals. The transition to a smart grid, including smart meters for the metering and communication of the energy consumption, helps with that ...
- research-articleJune 2020
Powerstrip: High-Performance Compression for Energy Data
e-Energy '20: Proceedings of the Eleventh ACM International Conference on Future Energy SystemsPages 242–252https://doi.org/10.1145/3396851.3397716The proliferation of smart outlets and meters with submetering capabilities has led to an explosion in the availability of device-level energy data. The increasing volume of current and historical data presents a storage and distribution challenge, ...
- short-paperDecember 2018
Research on Accelerated Life Test of Smart Meter Based on Degraded Trajectory Model
ICITEE '18: Proceedings of the International Conference on Information Technology and Electrical Engineering 2018Article No.: 56, Pages 1–5https://doi.org/10.1145/3148453.3306295Intelligent electricity meter is a new type of all-electronic electricity meter. How to evaluate its reliability accurately through accelerated life test is worth further research. To solve this problem, an experimental method of smart meter ...
- research-articleNovember 2018
Rimor: towards identifying anomalous appliances in buildings
BuildSys '18: Proceedings of the 5th Conference on Systems for Built EnvironmentsPages 33–42https://doi.org/10.1145/3276774.3276797Buildings across the world contribute about one-third of the total energy consumption. Studies report that anomalies in energy consumption caused by faults and abnormal appliance usage waste up to 20% of energy in buildings. Recent works leverage smart ...
- research-articleOctober 2018
Anomaly Detection Algorithms for Smart Metering using Swarm Intelligence
FICN '18: Proceedings of the 1st International Workshop on Future Industrial Communication NetworksPages 3–8https://doi.org/10.1145/3243318.3243319Advancement in the information and communication technology has introduced Advanced Metering Infrastructure (AMI) in the electricity metering system, which has replaced old mechanical meters with smart electric meters. This modernization also introduced ...
- research-articleJune 2018
Segmenting Residential Smart Meter Data for Short-Term Load Forecasting
e-Energy '18: Proceedings of the Ninth International Conference on Future Energy SystemsPages 91–96https://doi.org/10.1145/3208903.3208923In order to reliably generate electricity to meet the demands of the customer base, it is essential to match supply with demand. Short-term load forecasting is utilised in both real-time scheduling of electricity, and load-frequency control. This paper ...
- research-articleSeptember 2017
A ubiquitous power management system based on environment perception
Procedia Computer Science (PROCS), Volume 111, Issue CPages 190–195https://doi.org/10.1016/j.procs.2017.06.052Energy conservation is an important measure to protect the environment and conserve resources. To reduce power consumption of appliances, automatic and remote controllable smart meter has become one of the most advantageous means for power energy ...
- rfcJanuary 2017
RFC 8036: Applicability Statement for the Routing Protocol for Low-Power and Lossy Networks (RPL) in Advanced Metering Infrastructure (AMI) Networks
This document discusses the applicability of the Routing Protocol for Low-Power and Lossy Networks (RPL) in Advanced Metering Infrastructure (AMI) networks.