scholarly journals Cost-Efficient QoS-Aware Data Acquisition Point Placement for Advanced Metering Infrastructure

2018 ◽  
Vol 66 (12) ◽  
pp. 6260-6274 ◽  
Author(s):  
Fariba Aalamifar ◽  
Lutz Lampe
Keyword(s):  
Data Acquisition ◽  
Advanced Metering Infrastructure ◽  
Cost Efficient ◽  
Advanced Metering ◽  
Point Placement

scholarly journals Quality Control Methods for Advanced Metering Infrastructure Data

Smart Cities ◽  
2021 ◽  
Vol 4 (1) ◽  
pp. 195-203
Author(s):  
Eric Garrison ◽  
Joshua New
Keyword(s):  
Quality Control ◽  
Missing Values ◽  
Electricity Consumption ◽  
Empirical Validation ◽  
Advanced Metering Infrastructure ◽  
Building Energy Modeling ◽  
Building Type ◽  
Industry Standard ◽  
Advanced Metering ◽  
Electrical Consumption

While urban-scale building energy modeling is becoming increasingly common, it currently lacks standards, guidelines, or empirical validation against measured data. Empirical validation necessary to enable best practices is becoming increasingly tractable. The growing prevalence of advanced metering infrastructure has led to significant data regarding the energy consumption within individual buildings, but is something utilities and countries are still struggling to analyze and use wisely. In partnership with the Electric Power Board of Chattanooga, Tennessee, a crude OpenStudio/EnergyPlus model of over 178,000 buildings has been created and used to compare simulated energy against actual, 15-min, whole-building electrical consumption of each building. In this study, classifying building type is treated as a use case for quantifying performance associated with smart meter data. This article attempts to provide guidance for working with advanced metering infrastructure for buildings related to: quality control, pathological data classifications, statistical metrics on performance, a methodology for classifying building types, and assess accuracy. Advanced metering infrastructure was used to collect whole-building electricity consumption for 178,333 buildings, define equations for common data issues (missing values, zeros, and spiking), propose a new method for assigning building type, and empirically validate gaps between real buildings and existing prototypes using industry-standard accuracy metrics.

Contract-Based Incentive Mechanisms for Honeypot Defense in Advanced Metering Infrastructure

2021 ◽  
pp. 1-1
Author(s):  
Wen Tian ◽  
Miao Du ◽  
Xiaopeng Ji ◽  
Guangjie Liu ◽  
Yuewei Dai ◽  
...  
Keyword(s):  
Advanced Metering Infrastructure ◽  
Incentive Mechanisms ◽  
Advanced Metering
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