The fragmented design of intelligent transportation systems creates isolated intelligent systems.Resource competition and information gaps are fierce and widespread,worsening traffic issues and degrading overall servi...The fragmented design of intelligent transportation systems creates isolated intelligent systems.Resource competition and information gaps are fierce and widespread,worsening traffic issues and degrading overall service levels.Therefore,empowered by advanced technologies,an evolution toward an autonomous transportation system(ATS)is observed.This evolution aims to develop a collaborative and sustainable ecosystem,prompting interoperability within the cloud-edge-device continuum.展开更多
The demand for electricity is increasing exponentially day by day,especially with the arrival of electric vehicles.In the smart community neighborhood project,electricity should be produced at the household or communi...The demand for electricity is increasing exponentially day by day,especially with the arrival of electric vehicles.In the smart community neighborhood project,electricity should be produced at the household or community level and sold or bought according to the demands.Since the actors can produce,sell,and buy according to the demands,thus the name prosumers.ICT solutions can contribute to this in several ways,such as machine learning for analyzing the household data for customer demand and peak hours for the usage of electricity,blockchain as a trustworthy platform for selling or buying,data hub,and ensuring data security and privacy of prosumers.TOTEM:Token for controlled computation is a framework that allows users to analyze the data without moving the data from the data owner's environment.It also ensures the data security and privacy of the data.Here,in this article,we will show the importance of the TOTEM architecture in the EnergiX project and how the extended version of TOTEM can be efficiently merged with the demands of the current and similar projects.展开更多
Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand.Flattening the usage curve can result in cost savings,both for the p...Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand.Flattening the usage curve can result in cost savings,both for the power companies and the end users.Integration of renewable energy into the energy infrastructure presents an opportunity to use excess renewable generation to supplement supply and alleviate peaks.In addition,demand side management can shift the usage from peak to off-peak times and reduce the magnitude of peaks.In this work,we present a data driven approach for incentive-based peak mitigation.Understanding user energy profiles is an essential step in this process.We begin by analysing a popular energy research dataset published by the Ausgrid corporation.Extracting aggregated user energy behavior in temporal contexts and semantic linking and contextual clustering give us insight into consumption and rooftop solar generation patterns.We implement,and performance test a blockchain-based prosumer incentivization system.The smart contract logic is based on our analysis of the Ausgrid dataset.Our implementation is capable of supporting 792,540 customers with a reasonably low infrastructure footprint.展开更多
基金supported by the National Key Research and Development Program of China(2023YFB4301900)the National Natural Science Foundation of China(52125208)+1 种基金the Guangdong Basic and Applied Basic Research Foundation(2023A1515012895)the Department of Science and Technology of Guangdong Province(2021QN02S161).
文摘The fragmented design of intelligent transportation systems creates isolated intelligent systems.Resource competition and information gaps are fierce and widespread,worsening traffic issues and degrading overall service levels.Therefore,empowered by advanced technologies,an evolution toward an autonomous transportation system(ATS)is observed.This evolution aims to develop a collaborative and sustainable ecosystem,prompting interoperability within the cloud-edge-device continuum.
基金This research was funded by the Project number 267967:Energix of NFR(Norwegian Research Council)and Grant number 825134:ARTICONF of European Union's Horizon 2020 program.
文摘The demand for electricity is increasing exponentially day by day,especially with the arrival of electric vehicles.In the smart community neighborhood project,electricity should be produced at the household or community level and sold or bought according to the demands.Since the actors can produce,sell,and buy according to the demands,thus the name prosumers.ICT solutions can contribute to this in several ways,such as machine learning for analyzing the household data for customer demand and peak hours for the usage of electricity,blockchain as a trustworthy platform for selling or buying,data hub,and ensuring data security and privacy of prosumers.TOTEM:Token for controlled computation is a framework that allows users to analyze the data without moving the data from the data owner's environment.It also ensures the data security and privacy of the data.Here,in this article,we will show the importance of the TOTEM architecture in the EnergiX project and how the extended version of TOTEM can be efficiently merged with the demands of the current and similar projects.
基金funded by the Project number 267967:Energix of NFR(Norwegian Research Council)Grant number 825134:ARTICONF of European Union's Horizon 2020 program.
文摘Peak mitigation is of interest to power companies as peak periods may require the operator to over provision supply in order to meet the peak demand.Flattening the usage curve can result in cost savings,both for the power companies and the end users.Integration of renewable energy into the energy infrastructure presents an opportunity to use excess renewable generation to supplement supply and alleviate peaks.In addition,demand side management can shift the usage from peak to off-peak times and reduce the magnitude of peaks.In this work,we present a data driven approach for incentive-based peak mitigation.Understanding user energy profiles is an essential step in this process.We begin by analysing a popular energy research dataset published by the Ausgrid corporation.Extracting aggregated user energy behavior in temporal contexts and semantic linking and contextual clustering give us insight into consumption and rooftop solar generation patterns.We implement,and performance test a blockchain-based prosumer incentivization system.The smart contract logic is based on our analysis of the Ausgrid dataset.Our implementation is capable of supporting 792,540 customers with a reasonably low infrastructure footprint.
