Search results for "demand response"

showing 10 items of 47 documents

A new architecture for Smart Contracts definition in Demand Response Programs

2019

The present paper shows the possibility to use a smart contract for defining a distributed Demand Response mechanism. The use of the blockchain and smart contracts for the Demand Response mechanism allows the creation of an automatic system, where network users can communicate with the DSO to provide their flexibility. The blockchain ensures that the same information is shared among the users of the grid, while preserving user privacy. The DSO notifies the request to increase or reduce the load in a given period of the day using channels, a native abstraction of Hyperledger Fabric. The smart contract computes the support provided by each user to fulfill the requested load adaptation and aut…

Flexibility (engineering)blockchainpeer to peertransactive energySmart contractbusiness.industryComputer sciencePeer-to-peercomputer.software_genreGridDemand responsemicrogridOrder (business)energy marketdemand response.Adaptation (computer science)businesssmart contractcomputerComputer networkAbstraction (linguistics)
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A Methodology for Exploiting Smart Prosumers’ Flexibility in a Bottom-Up Aggregation Process

2022

The electrical power system is evolving in a way that requires new measures for ensuring its secure and reliable operation. Demand-side aggregation represents one of the more interesting ways to provide ancillary services by the coordinated management of a multitude of different distributed resources. In this framework, aggregators play the main role in ensuring the effectiveness of the coordinated action of the distributed resources, usually becoming mediators in the relation between distribution system operators and smart prosumers. The research project DEMAND recently introduced a new concept in demand-side aggregation by proposing a scheme without a central aggregator where prosumers ca…

Fluid Flow and Transfer ProcessesTechnologyprosumerQH301-705.5Process Chemistry and TechnologyTPhysicsQC1-999bottom-up aggregationGeneral EngineeringEngineering (General). Civil engineering (General)Computer Science ApplicationsSettore ING-IND/33 - Sistemi Elettrici Per L'Energiademand response; bottom-up aggregation; prosumer; VAEChemistryBottom-up aggregation Demand response Prosumer VAEdemand responseVAEGeneral Materials ScienceTA1-2040Biology (General)InstrumentationQD1-999Applied Sciences; Volume 12; Issue 1; Pages: 430
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Renewable Energy Sources in the Baltic States and New Business Approach of the Sector

2021

Renewable energy sources (RES) are efficient in meeting the demand for clean and affordable energy. The need for RES is undeniable and has many advantages but there are also some challenges that need to be taken into consideration and adapted to the energy system. One of the challenges is RES volatility and its impact on electricity prices and power system operation. Europe is trending to power system decentralisation through the involvement of local authorities, active consumers and citizens in the system operation. This article provides main information about the energy sector of Latvia and RES in the Baltic countries. It proposes a methodology for the complex analysis of correlation and …

H1-99demand response managementcorrelation and regression modelsbusiness.industryPhilosophy. Psychology. ReligionP1-1091Environmental economicsrenewable energyEnergy sectorDecentralizationRenewable energySocial sciences (General)Electric power systemBElectricityVolatility (finance)Electric power industrybusinessAdaptation (computer science)Philology. LinguisticsVilnius University Open Series
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An Efficient and Secure Energy Trading Approach with Machine Learning Technique and Consortium Blockchain

2022

In this paper, a secure energy trading mechanism based on blockchain technology is proposed. The proposed model deals with energy trading problems such as insecure energy trading and inefficient charging mechanisms for electric vehicles (EVs) in a vehicular energy network (VEN). EVs face two major problems: finding an optimal charging station and calculating the exact amount of energy required to reach the selected charging station. Moreover, in traditional trading approaches, centralized parties are involved in energy trading, which leads to various issues such as increased computational cost, increased computational delay, data tempering and a single point of failure. Furthermore, EVs fac…

Machine LearningBlockchainconsortium blockchain; branching; charging station; demand response; double spending; electric vehicles; energy trading; KNN; machine learning; vehicular energy networkElectricityElectrical and Electronic EngineeringBiochemistryInstrumentationVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550Atomic and Molecular Physics and OpticsAnalytical ChemistrySensors; Volume 22; Issue 19; Pages: 7263
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Characterization of a small Mediterranean island end-users’ electricity consumption: The case of Lampedusa

2017

Abstract The paper presents the results of a study carried out on Lampedusa Island (Italy) and based on the survey of electricity consumption data. The main outcomes of the study are: • the characterization of the energy demand of private houses and hotels in Italian small islands with significant touristic flows during the summer period; • the identification of inefficient use of the electric loads; • the construction of aggregated load profiles for clusters of homogeneous domestic end-user to be used for implementing Demand Response strategies. The study shows how electricity consumption in Mediterranean small islands are very high with respect to the national average and lays the basis f…

Mediterranean climate020209 energyGeography Planning and DevelopmentTransportation02 engineering and technologySmall islandsSmall islandDemand responseEnvironmental protection0202 electrical engineering electronic engineering information engineeringLampedusaCivil and Structural EngineeringConsumption (economics)Settore ING-IND/11 - Fisica Tecnica AmbientalebiologyRenewable Energy Sustainability and the Environmentbusiness.industryEnd userEnvironmental resource managementbiology.organism_classificationEnergy characterizationAppliance useAggregated load;Energy characterization;Appliance use;Small islands;Energy consumptionRenewable energyEnergy consumptionSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaSustainabilityEnvironmental scienceAggregated loadElectricitybusinessSustainable Cities and Society
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Optimal pricing strategies in real-time electricity pricing environments: An Italian case study

2015

The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response (DR), namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different power system participants. This paper describes a new framework able to optimally select the real-time prici…

Operations researchComputer scienceElectricity pricingcomputer.software_genreEnergy management power system economics power system planning energy consumptionNews aggregatorSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDemand responsePricing strategiesVariable pricingElectricity marketEnergy marketElectricity retailingcomputer2015 International Conference on Clean Electrical Power (ICCEP)
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An algorithm for simulating end-user behaviour in a real time pricing market

2015

The energy market has changed radically over the last decade, mainly due to an increased penetration of renewable energies. Now the end users have directly access to the energy market and can actively take part to the electricity market. Electricity customers can indeed modify their behavior through Demand Response, namely by means of pricing strategies that support a change in the end-users habits. This can be accomplished through a 'loads aggregator', a third party that collects the requests and signals for Active Demand-based services coming from the markets and the different actors of energy market. This paper describes a simulation framework to generate the simulated optimal behavior o…

Operations researchbusiness.industryComputer scienceEnd userReal-time pricingDemand Responsesimulationcomputer.software_genreNews aggregatorSettore ING-IND/33 - Sistemi Elettrici Per L'EnergiaDemand responsecase studyloads aggregationPricing strategiesVariable pricingElectricity marketEnergy marketElectricitybusinesscomputer2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC)
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Privacy-Preserving Overgrid: Secure Data Collection for the Smart Grid

2020

In this paper, we present a privacy-preserving scheme for Overgrid, a fully distributed peer-to-peer (P2P) architecture designed to automatically control and implement distributed Demand Response (DR) schemes in a community of smart buildings with energy generation and storage capabilities. To monitor the power consumption of the buildings, while respecting the privacy of the users, we extend our previous Overgrid algorithms to provide privacy preserving data aggregation (PP-Overgrid). This new technique combines a distributed data aggregation scheme with the Secure Multi-Party Computation paradigm. First, we use the energy profiles of hundreds of buildings, classifying the amount of &ldquo

Overlay networksComputer scienceDistributed computingOverlay networkSmart grid02 engineering and technologylcsh:Chemical technologyBiochemistryArticlePeer to peerAnalytical ChemistryDemand response0202 electrical engineering electronic engineering information engineeringlcsh:TP1-1185Electrical and Electronic EngineeringSecret sharingInstrumentationOvergridBuilding automationP2P020203 distributed computingbusiness.industryDistributed; Gossiping; Overgrid; Overlay networks; P2P; Peer to peer; Privacy; Secret sharing; Smart grid020206 networking & telecommunicationsEnergy consumptionAtomic and Molecular Physics and OpticsRenewable energyDistributedElectricity generationSmart gridPrivacyGossipingbusinessSensors
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EU transition in power sector: How RES affects the design and operations of transmission power systems

2019

In the past, much of Europe's electricity grid network has been designed in consideration of the locations of conventional generation plants. However, a large share of today's renewables production – notably variable wind and solar – does not correspond to this grid architecture. Interconnectors, in addition to internal infrastructure, are key to creating new electricity corridors to connect areas of surplus to areas of scarcity. In this context, in 2014 the European Council, in recognizing that a fundamental role of transmission infrastructure is to enable the integration of areas of high renewable energy potential with main consumption areas, endorsed the proposal by the European Commissi…

Photovoltaic (PV)Ancillary serviceInternal Electricity Market (IEM)Energy Engineering and Power TechnologyAggregatorElectrical Energy Storage (ESS)Settore ING-IND/33 - Sistemi Elettrici Per L'EnergiaElectric Vehicle (EV)Demand-Side Management (DSM)Energy efficiencyDistributed Energy Resource (DER)Demand Response (DR)Electrical and Electronic EngineeringVariable Renewable Energy Source (VRES)Regional Security Coordinator (RSC)
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Relative evaluation of regression tools for urban area electrical energy demand forecasting

2019

Abstract Load forecasting is the most fundamental application in Smart-Grid, which provides essential input to Demand Response, Topology Optimization and Abnormally Detection, facilitating the integration of intermittent clean energy sources. In this work, several regression tools are analyzed using larger datasets for urban area electrical load forecasting. The regression tools which are used are Random Forest Regressor, k-Nearest Neighbour Regressor and Linear Regressor. This work explores the use of regression tool for regional electric load forecasting by correlating lower distinctive categorical level (season, day of the week) and weather parameters. The regression analysis has been do…

Renewable Energy Sustainability and the Environment020209 energyStrategy and Management05 social sciencesRegression analysisSample (statistics)02 engineering and technologyDemand forecastingIndustrial and Manufacturing EngineeringRegressionRandom forestDemand responseMean absolute percentage errorStatistics050501 criminology0202 electrical engineering electronic engineering information engineeringCategorical variable0505 lawGeneral Environmental ScienceMathematicsJournal of Cleaner Production
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