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Year of publication
Subject
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Smart meter data 4 Household 2 Privater Haushalt 2 Theorie 2 Theory 2 smart meter data 2 Behavioral determinants of energy consumption 1 Blockchain-technology 1 Climate impacts 1 Consumer behaviour 1 Data-driven energy efficiency 1 Demand response 1 Demand-side management 1 Deutschland 1 Difference-in-differences 1 EU countries 1 EU-Staaten 1 Einkommensverteilung 1 Einzelhandel 1 Electric power industry 1 Electric vehicle 1 Electricity 1 Electricity price 1 Electricity retailer 1 Elektrizität 1 Elektrizitätswirtschaft 1 Elektrofahrzeug 1 Energiekonsum 1 Energiemarkt 1 Energiepolitik 1 Energy 1 Energy consumption 1 Energy market 1 Energy policy 1 Factor analysis 1 Forecasting model 1 Germany 1 Hellinger distance 1 High-frequency smart meter data 1 Household electricity use 1
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Online availability
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Undetermined 5 Free 4
Type of publication
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Article 6 Book / Working Paper 3
Type of publication (narrower categories)
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Article in journal 3 Aufsatz in Zeitschrift 3 Graue Literatur 3 Non-commercial literature 3 Arbeitspapier 2 Working Paper 2 Hochschulschrift 1
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Language
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English 6 Undetermined 3
Author
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Hyndman, Rob J. 2 Borgeson, Samuel D. 1 Callaway, Duncan S. 1 Carrión, Miguel 1 Cheng, Fan 1 Cole, Wesley J. 1 Cook, Dianne 1 Dyson, Mark E.H. 1 Edgar, Thomas F. 1 Fischer, Martin 1 Gupta, Sayani 1 Iseki, Hiroyuki 1 Kavousian, Amir 1 Meeuw, Arne 1 Obringer, Renee 1 Panagiotelis, Anastasios 1 Pezalla, Simon 1 Pérez-Santalla, Román 1 Qiu, Yueming 1 Rajagopal, Ram 1 Rhodes, Joshua D. 1 Ruiz, Carlos 1 Shen, Xingchi 1 Tabone, Michaelangelo D. 1 Upshaw, Charles R. 1 Wang, Yi David 1 Webber, Michael E. 1 Xing, Bo 1 Zhang, Huiming 1
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Published in...
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Working paper / Department of Econometrics and Business Statistics, Monash University 2 Applied Energy 1 Energy 1 Energy Policy 1 Resource and energy economics 1 Socio-economic planning sciences : the international journal of public sector decision-making 1 Top : an official journal of the Spanish Society of Statistics and Operations Research 1
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Source
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ECONIS (ZBW) 6 RePEc 3
Showing 1 - 9 of 9
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Optimal pricing for electricity retailers based on data-driven consumers’ price-response
Pérez-Santalla, Román; Carrión, Miguel; Ruiz, Carlos - In: Top : an official journal of the Spanish Society of … 30 (2022) 3, pp. 430-464
Persistent link: https://www.econbiz.de/10013461024
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Detecting distributional differences between temporal granularities for exploratory time series analysis
Gupta, Sayani; Hyndman, Rob J.; Cook, Dianne - 2021
Persistent link: https://www.econbiz.de/10012697922
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Manifold learning with approximate nearest neighbors
Cheng, Fan; Hyndman, Rob J.; Panagiotelis, Anastasios - 2021
Persistent link: https://www.econbiz.de/10012614527
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Evaluating the household-level climate-electricity nexus across three cities through statistical learning techniques
Pezalla, Simon; Obringer, Renee - In: Socio-economic planning sciences : the international … 89 (2023), pp. 1-9
Persistent link: https://www.econbiz.de/10014434518
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Design, implementation, and evaluation of a blockchain-based microgrid platform : enabling local peer-to-peer energy markets
Meeuw, Arne - 2020
In order to meet global emissions targets, Renewable Energy Sources (RES) will have to be exploited. The subsequent decentralisation of the electrical grid, caused in large parts by residential rooftop Photovoltaic (PV) systems, in turn presents a challenge to existing infrastructure, markets,...
Persistent link: https://www.econbiz.de/10012214070
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Empirical grid impact of in-home electric vehicle charging differs from predictions
Qiu, Yueming; Wang, Yi David; Iseki, Hiroyuki; Shen, Xingchi - In: Resource and energy economics 67 (2022), pp. 1-17
Persistent link: https://www.econbiz.de/10013366620
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Clustering analysis of residential electricity demand profiles
Rhodes, Joshua D.; Cole, Wesley J.; Upshaw, Charles R.; … - In: Applied Energy 135 (2014) C, pp. 461-471
Little is known about variations in electricity use at finely-resolved timescales, or the drivers for those variations. Using measured electricity use data from 103 homes in Austin, TX, this analysis sought to (1) determine the shape of seasonally-resolved residential demand profiles, (2)...
Persistent link: https://www.econbiz.de/10011076381
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Using smart meter data to estimate demand response potential, with application to solar energy integration
Dyson, Mark E.H.; Borgeson, Samuel D.; Tabone, … - In: Energy Policy 73 (2014) C, pp. 607-619
/C), using hourly electricity consumption data (“smart meter” data) from 30,000 customer accounts in Northern California. We …
Persistent link: https://www.econbiz.de/10011046752
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Determinants of residential electricity consumption: Using smart meter data to examine the effect of climate, building characteristics, appliance stock, and occupants' behavior
Kavousian, Amir; Rajagopal, Ram; Fischer, Martin - In: Energy 55 (2013) C, pp. 184-194
We propose a method to examine structural and behavioral determinants of residential electricity consumption, by developing separate models for daily maximum (peak) and minimum (idle) consumption. We apply our method on a data set of 1628 households' electricity consumption. The results show...
Persistent link: https://www.econbiz.de/10010810544
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