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Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Frontiers in Energy 2014, Volume 8, Issue 1,   Pages 31-40 doi: 10.1007/s11708-014-0296-8

Abstract: This paper applies time series methodologies to examine the causal relationship among electricity demandMoreover, there is a bi-directional Granger causality flow between real per capita GDP and electricitydemand; while labor force does not Granger-cause neither real per capita GDP nor electricity demand.This implies that electricity demand and economic growth are jointly determined at the same time forerrors in labor force are mainly resulted from the labor force itself, although aggregate income and electricity

Keywords： energy policies     electricity demand     GDP     labor force     stationarity     structural breaks     cointegration     causality    

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Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

Frontiers in Energy 2012, Volume 6, Issue 2,   Pages 164-178 doi: 10.1007/s11708-012-0187-9

Abstract: The nodal prices increases during the congestion hours and the demand response to nodal prices will beIn this paper, demand response-based CM has been proposed for a mix of pool and bilateral electricityThe linear bid curves have been considered for demand bids to respond to the congestion in the networkThe bilateral demand has been obtained with minimum deviations in their preferred schedule.Multi-line congestion cases have been considered to study the impact on demand response without and with

Keywords： bid function     congestion management (CM)     demand response     pool+bilateral electricity market     static var    

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Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Frontiers in Energy 2018, Volume 12, Issue 3,   Pages 426-439 doi: 10.1007/s11708-018-0560-4

Abstract: largest source of global greenhouse-gas (GHG) emissions, it is important to efficiently manage energy demandAn electricity demand prediction model is developed for each device using the Auto-Regression eXogenousThe real-time SEMS data and time-series clustering to explore similarities in electricity consumptionThese clusters are evaluated using peak demand and Ramadan term characteristics.

Keywords： electricity monitoring     electricity demand prediction     multiple-variable time-series modeling     time-series    

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Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies Artical

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

Engineering 2015, Volume 1, Issue 4,   Pages 422-435 doi: 10.15302/J-ENG-2015109

Abstract: with system parameters that are typical for an interconnection approximately the size of the Western Electricity

Keywords： interconnection studies     demand response     load control     renewable integration     agent-based simulation     electricity    

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A hybrid fuel cell for water purification and simultaneously electricity generation

Frontiers of Environmental Science & Engineering 2023, Volume 17, Issue 1, doi: 10.1007/s11783-023-1611-6

Abstract:

● A novel hybrid fuel cell (F-HFC) was fabricated.

Keywords： Flow-through field     Hybrid fuel cell     Polyoxometalates     Water purification     Electricity generation    

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Low-carbon technology calls for comprehensive electricity-market redesign

Yang YU

Frontiers of Engineering Management 2019, Volume 6, Issue 1,   Pages 128-130 doi: 10.1007/s42524-019-0020-9

Abstract:

The energy transition also calls for electricity- market redesign.Low-carbon technologies will fundamentally reshape the electricity sector.The electricity generation and demand will be significantly unpredictable and uncontrollable thus requireThe higher difficulty induced by the green-technology penetration expose the electricity-market to aThus, the future low-carbon electricity-market and associated regulation scheme require a comprehensive

Keywords： low-carbon technology     electricity-system operation     market design    

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Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

Frontiers in Energy 2012, Volume 6, Issue 4,   Pages 351-355 doi: 10.1007/s11708-012-0209-7

Abstract: Guangdong is a province with the most electricity consumption (EC) and the fastest economic growth inHowever, there has long been a contradiction between electricity supply and demand in Guangdong and this

Keywords： co-integration     granger causality     electricity consumption (EC)     economic growth    

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An approach to locational marginal price based zonal congestion management in deregulated electricity

Md SARWAR,Anwar Shahzad SIDDIQUI

Frontiers in Energy 2016, Volume 10, Issue 2,   Pages 240-248 doi: 10.1007/s11708-016-0404-z

Abstract: Congestion occurs in deregulated electricity market when transmission capacity is not sufficient to simultaneouslycongestion, a locational marginal price (LMP) based zonal congestion management approach in a deregulated electricitymeasure of the degree of congestion, therefore, it is efficiently and reliably used in deregulated electricity

Keywords： locational marginal price (LMP)     distributed generation     pool market     deregulated electricity market     congestion    

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Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Frontiers of Engineering Management   Pages 486-498 doi: 10.1007/s42524-022-0215-3

Abstract: Electricity consumption is one of the major contributors to greenhouse gas emissions.Divisia index method to quantify six effects (emission intensity, power generation structure, consumption electricitypopulation structure, and population scale) and comprehensively reflect the degree of dependence of electricityresults of this study provide a new perspective to understand carbon emission reduction potentials in the electricity

Keywords： electricity consumption carbon emission measurement     LMDI model     decoupling model     data driven    

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Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

Frontiers in Energy 2017, Volume 11, Issue 2,   Pages 210-232 doi: 10.1007/s11708-017-0460-z

Abstract: In this paper, the main contributions to congestion management and electricity pricing, i.e., nodal,zonal, and uniform electricity pricing, are surveyed.The key electricity market concepts are structured and a formal model framework is proposed for electricityand consumption in the context of limited transmission networks and competitive, welfare maximizing electricity

Keywords： nodal pricing     zonal pricing     uniform pricing     competitive electricity markets     welfare maximization     redispatch    

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Policy entry points for facilitating a transition towards a low-carbon electricity future

Frontiers of Engineering Management   Pages 462-472 doi: 10.1007/s42524-022-0214-4

Abstract: This study extends the ambit of the debate on electricity transition by specifically identifying possiblepolicy entry points through which transformative and enduring changes can be made in the electricitytransition, four such entry points have been identified: 1) destabilising the dominant, fossil fuel-based electricityregime to create room for renewable technologies to break through; 2) reconfiguring the electricity

Keywords： electricity transition     multi-level perspective     policy entry points    

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Understanding the demand predictability of bike share systems: A station-level analysis

Frontiers of Engineering Management   Pages 551-565 doi: 10.1007/s42524-023-0279-8

Abstract: Predicting demand for bike share systems (BSSs) is critical for both the management of an existing BSSWhile researchers have mainly focused on improving prediction accuracy and analysing demand-influencingUsing Divvy bike-share one-year data from Chicago, USA, we measured demand entropy and quantified thesome stations exhibit high uncertainty (a low entropy of 0.65) and others have almost no check-out demandFindings from this study provide more fundamental understanding of BSS demand prediction, which can help

Keywords： bike share systems     demand prediction     prediction errors     machine learning     entropy    

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Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Frontiers of Environmental Science & Engineering 2012, Volume 6, Issue 2,   Pages 204-212 doi: 10.1007/s11783-011-0364-9

Abstract: A flaw of demand coverage method in solving optimal monitoring stations problem under multiple demandIn the demand coverage method, the demand coverage of each set of monitoring stations is calculated byaccumulating their demand coverage under each demand pattern, and the impact of temporal distributionbetween different time periods or demand patterns is ignored.To overcome this flaw, this paper presents a Demand Coverage Index (DCI) based method.

Keywords： demand coverage     monitoring     optimization     water distribution network     water quality    

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Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Frontiers in Energy 2010, Volume 4, Issue 4,   Pages 459-468 doi: 10.1007/s11708-010-0119-5

Abstract: An assessment of the energy demand and the potential for sector-based emission reductions will provideIn this paper, Beijing was selected as a special case for analysis in order to assess the energy demandResults show that in the high motorization-oriented pattern scenario, total energy demand is about 13.94%On the other hand, in the bus and rail transit-oriented scenario, total energy demand is about 11.57%

Keywords： scenario analysis     urban traffic pattern     energy demand     reduction potential    

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Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Frontiers in Energy 2019, Volume 13, Issue 4,   Pages 715-730 doi: 10.1007/s11708-018-0538-2

Abstract: Demand side management (DSM) is one of such smart grid technologies which motivate end users to activelyparticipate in the electricity market by providing incentives.Consumers are expected to respond (demand response (DR)) in various ways to attain these benefits.discharging) and the amount of power exchange from the battery while considering the variations in consumer demandand utility parameters such as electricity price and consumer consumption limit (CCL).

Keywords： smart grid     demand side management (DSM)     demand response (DR)     smart building     smart appliances     energy storage    

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Title Author Date Type Operation

Electricity demand, GDP and employment: evidence from Italy

Cosimo MAGAZZINO

Journal Article

Demand response based congestion management in a mix of pool and bilateral electricity market model

Ashwani KUMAR, Charan SEKHAR

Journal Article

Employing electricity-consumption monitoring systems and integrative time-series analysis models: A case

Seiya MAKI, Shuichi ASHINA, Minoru FUJII, Tsuyoshi FUJITA, Norio YABE, Kenji UCHIDA, Gito GINTING, Rizaldi BOER, Remi CHANDRAN

Journal Article

Agent-Based Simulation for Interconnection-Scale Renewable Integration and Demand Response Studies

David P. Chassin,Sahand Behboodi,Curran Crawford,Ned Djilali

Journal Article

A hybrid fuel cell for water purification and simultaneously electricity generation

Journal Article

Low-carbon technology calls for comprehensive electricity-market redesign

Yang YU

Journal Article

Relationship between electricity consumption and economic growth of Guangdong Province in China

Lianhong LV, Hong LUO, Baoliu ZHANG

Journal Article

An approach to locational marginal price based zonal congestion management in deregulated electricity

Md SARWAR,Anwar Shahzad SIDDIQUI

Journal Article

Decomposition and decoupling analysis of electricity consumption carbon emissions in China

Journal Article

Nodal, zonal, or uniform electricity pricing: how to deal with network congestion

Martin WEIBELZAHL

Journal Article

Policy entry points for facilitating a transition towards a low-carbon electricity future

Journal Article

Understanding the demand predictability of bike share systems: A station-level analysis

Journal Article

Optimal locations of monitoring stations in water distribution systems under multiple demand patterns: a flaw of demand coverage method and modification

Shuming LIU, Wenjun LIU, Jinduan CHEN, Qi WANG

Journal Article

Scenario analysis of the energy demand and CO

Jihong ZHANG, Jian ZHOU, Guangping HU, Tianhou ZHANG

Journal Article

Smart residential energy management system for demand response in buildings with energy storage devices

S. L. ARUN, M. P. SELVAN

Journal Article