Benefits of Smart Meters in Institutional Building – A Case Study

2021 ◽  
pp. 229-236
Author(s):  
A.C. Vishnu Dharssini ◽  
S. Charles Raja ◽  
T. Karthick
Keyword(s):  
Smart Meters

AI and privacy concerns: a smart meter case study

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jillian Carmody ◽  
Samir Shringarpure ◽  
Gerhard Van de Venter
Keyword(s):  
Private Information ◽  
Personal Information ◽  
Consumer Information ◽  
Data Sets ◽  
Smart Meter ◽  
Smart Meters ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Legislation

Purpose The purpose of this paper is to demonstrate privacy concerns arising from the rapidly increasing advancements and use of artificial intelligence (AI) technology and the challenges of existing privacy regimes to ensure the on-going protection of an individual’s sensitive private information. The authors illustrate this through a case study of energy smart meters and suggest a novel combination of four solutions to strengthen privacy protection. Design/methodology/approach The authors illustrate how, through smart meter obtained energy data, home energy providers can use AI to reveal private consumer information such as households’ electrical appliances, their time and frequency of usage, including number and model of appliance. The authors show how this data can further be combined with other data to infer sensitive personal information such as lifestyle and household income due to advances in AI technologies. Findings The authors highlight data protection and privacy concerns which are not immediately obvious to consumers due to the capabilities of advanced AI technology and its ability to extract sensitive personal information when applied to large overlapping granular data sets. Social implications The authors question the adequacy of existing privacy legislation to protect sensitive inferred consumer data from AI-driven technology. To address this, the authors suggest alternative solutions. Originality/value The original value of this paper is that it illustrates new privacy issues brought about by advances in AI, failings in current privacy legislation and implementation and opens the dialog between stakeholders to protect vulnerable consumers.

scholarly journals Demand Response Model Development for Smart Households Using Time of Use Tariffs and Optimal Control—The Isle of Wight Energy Autonomous Community Case Study

Energies ◽  
2020 ◽  
Vol 13 (3) ◽  
pp. 541 ◽  
Author(s):  
Sourav Khanna ◽  
Victor Becerra ◽  
Adib Allahham ◽  
Damian Giaouris ◽  
Jamie M. Foster ◽  
...  
Keyword(s):  
Demand Response ◽  
Large Scale ◽  
Energy Transport ◽  
Model Development ◽  
Software Tool ◽  
Load Flow ◽  
Smart Devices ◽  
Smart Meters ◽  
Isle Of Wight

Residential variable energy price schemes can be made more effective with the use of a demand response (DR) strategy along with smart appliances. Using DR, the electricity bill of participating customers/households can be minimised, while pursuing other aims such as demand-shifting and maximising consumption of locally generated renewable-electricity. In this article, a two-stage optimization method is used to implement a price-based implicit DR scheme. The model considers a range of novel smart devices/technologies/schemes, connected to smart-meters and a local DR-Controller. A case study with various decarbonisation scenarios is used to analyse the effects of deploying the proposed DR-scheme in households located in the west area of the Isle of Wight (Southern United Kingdom). There are approximately 15,000 households, of which 3000 are not connected to the gas-network. Using a distribution network model along with a load flow software-tool, the secondary voltages and apparent-power through transformers at the relevant substations are computed. The results show that in summer, participating households could export up to 6.4 MW of power, which is 10% of installed large-scale photovoltaics (PV) capacity on the island. Average carbon dioxide equivalent (CO2e) reductions of 7.1 ktons/annum and a reduction in combined energy/transport fuel-bills of 60%/annum could be achieved by participating households.

Smart meters and household electricity consumption: A case study in Ireland

2017 ◽  
Vol 29 (1) ◽  
pp. 131-146 ◽  
Author(s):  
Gordon Rausser ◽  
Wadim Strielkowski ◽  
Dalia Štreimikienė
Keyword(s):  
Electricity Consumption ◽  
Smart Meters

B2B B2C Architecture for Smart Meters using IoT and Machine Learning: a Brazilian Case Study

2020 ◽  
Author(s):  
Victor Takashi Hayashi ◽  
Reginaldo Arakaki ◽  
Tiago Yukio Fujii ◽  
Khalil Ahmad Khalil ◽  
Fabio Hirotsugu Hayashi
Keyword(s):  
Machine Learning ◽  
Smart Meters ◽  
Brazilian Case

scholarly journals NB-IoT optimization for smart meters networks of smart cities: Case study

2020 ◽  
Vol 59 (6) ◽  
pp. 4267-4281
Author(s):  
Ahmed M. Abbas ◽  
Khaled Y. Youssef ◽  
Imbaby I. Mahmoud ◽  
Abdelhalim Zekry
Keyword(s):  
Smart Cities ◽  
Smart Meters

Load Segmentation for Convergence of Distribution Automation and Advanced Metering Infrastructure Systems

2014 ◽  
Vol 15 (6) ◽  
pp. 607-619 ◽  
Author(s):  
Balakrishna Pamulaparthy ◽  
Swarup KS ◽  
Rajagopal Kommu
Keyword(s):  
Low Voltage ◽  
Distribution Automation ◽  
Advanced Metering Infrastructure ◽  
Distribution Grid ◽  
Smart Meters ◽  
Time Intervals ◽  
Power Restoration ◽  
Advanced Metering ◽  
Short Time

Abstract Distribution automation (DA) applications are limited to feeder level today and have zero visibility outside of the substation feeder and reaching down to the low-voltage distribution network level. This has become a major obstacle in realizing many automated functions and enhancing existing DA capabilities. Advanced metering infrastructure (AMI) systems are being widely deployed by utilities across the world creating system-wide communications access to every monitoring and service point, which collects data from smart meters and sensors in short time intervals, in response to utility needs. DA and AMI systems convergence provides unique opportunities and capabilities for distribution grid modernization with the DA system acting as a controller and AMI system acting as feedback to DA system, for which DA applications have to understand and use the AMI data selectively and effectively. In this paper, we propose a load segmentation method that helps the DA system to accurately understand and use the AMI data for various automation applications with a suitable case study on power restoration.

Electromagnetic interferences in smart grid applications: a case study with power line communication smart meters and PV energy generation

2017 ◽  
Vol 2017 (1) ◽  
pp. 607-611 ◽  
Author(s):  
Dominique Roggo ◽  
Rodolfo Horta ◽  
Lino Capponi ◽  
Loïc Eggenschwiler ◽  
Fabrice Decorvet ◽  
...  
Keyword(s):  
Smart Grid ◽  
Energy Generation ◽  
Power Line ◽  
Power Line Communication ◽  
Smart Meters ◽  
Grid Applications

scholarly journals NB‐IoT optimisation: Holistic view for smart cities applications with smart meters networks case study

2020 ◽  
Author(s):  
Ahmed M. Abbas ◽  
Khaled Y. Youssef ◽  
Abdelhalim Zekry ◽  
Imbaby I. Mahmoud
Keyword(s):  
Smart Cities ◽  
Smart Meters ◽  
Holistic View
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