Value and granularity of ICT and smart meter data in demand response systems (English)
- New search for: Bodenbenner, Philipp
- New search for: Bodenbenner, Philipp
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In:
Energy economics
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54
; 1-10
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2016
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ISSN:
- Article (Journal) / Print
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Title:Value and granularity of ICT and smart meter data in demand response systems
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Contributors:
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Published in:Energy economics ; 54 ; 1-10
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Publisher:
- New search for: Elsevier
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Place of publication:Amsterdam
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Publication date:2016
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ISSN:
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DOI:
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Type of media:Article (Journal)
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Type of material:Print
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Language:English
- New search for: 83.65
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Keywords:
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Classification:
BKL: 83.65 Versorgungswirtschaft -
Source:
Table of contents – Volume 54
The tables of contents are generated automatically and are based on the data records of the individual contributions available in the index of the TIB portal. The display of the Tables of Contents may therefore be incomplete.
- 1
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Value and granularity of ICT and smart meter data in demand response systemsBodenbenner, Philipp et al. | 2016
- 11
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The impact of oil shocks on exchange rates: A Markov-switching approachSadorsky, Perry et al. | 2016
- 24
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Is our everyday comfort for sale? Preferences for demand management on the electricity marketPersson, Lars et al. | 2016
- 33
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Quantile dependence of oil price movements and stock returnsUgolini, Andrea et al. | 2016
- 50
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Sources of energy productivity change in China during 1997–2012: A decomposition analysis based on the Luenberger productivity indicatorWei, Yi-Ming et al. | 2016
- 60
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Forecasting the adoption of residential ductless heat pumpsHolland, Christine et al. | 2016
- 68
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Forecasting realized volatility in electricity markets using logistic smooth transition heterogeneous autoregressive modelsNiu, Mengyi et al. | 2016
- 77
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Bidding structure, market efficiency and persistence in a multi-time tariff settingAkgul, Doganbey et al. | 2016
- 88
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Energy production in Brazil: Empirical facts based on persistence, seasonality and breaksWanke, Peter et al. | 2016
- 96
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Investors’ reaction to the government credibility problem: A real option analysis of emission permit policy riskKang, Sang Baum et al. | 2016
- 108
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Distribution network prices and solar PV: Resolving rate instability and wealth transfers through demand tariffsSimshauser, Paul et al. | 2016
- 123
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Substitution elasticities between GHG-polluting and nonpolluting inputs in agricultural production: A meta-regressionRichard Shumway, C et al. | 2016
- 133
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Who pays and who gains from fuel policies in Brazil?Khanna, Madhu et al. | 2016
- 144
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The dynamics of fuel demand and illegal fuel activity in TurkeyYalta, A. Yasemin et al. | 2016
- 159
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Risk spillovers across the energy and carbon markets and hedging strategies for carbon riskHammoudeh, Shawkat et al. | 2016
- 173
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Why does real-time information reduce energy consumption?Saijo, Tatsuyoshi et al. | 2016
- 182
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Modeling energy price dynamics: GARCH versus stochastic volatilityGrant, Angelia L et al. | 2016
- 190
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Volatility linkages between energy and agricultural commodity pricesLópez Cabrera, Brenda et al. | 2016
- 204
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Role of carbon swap trading and energy prices in price correlations and volatilities between carbon marketsKanamura, Takashi et al. | 2016
- 213
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An examination of the flow characteristics of crude oil: Evidence from risk-neutral momentsMiao, Hong et al. | 2016
- 224
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Exogenous shocks and the spillover effects between uncertainty and oil priceZhou, Yimin et al. | 2016
- 235
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Hedging emerging market stock prices with oil, gold, VIX, and bonds: A comparison between DCC, ADCC and GO-GARCHSadorsky, Perry et al. | 2016
- 248
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The transition between energy efficient and energy inefficient states in CameroonAdom, Philip Kofi et al. | 2016
- 263
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Environmental Kuznets curves: New evidence on both panel and country-level CO2 emissionsApergis, Nicholas et al. | 2016
- 272
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Renewable energy policy performance in reducing CO2 emissionsSauma, Enzo et al. | 2016
- 272
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Renewable energy policy performance in reducing CO^sub 2^ emissionsMiguel Pérez deArce et al. | 2016
- 281
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Asymmetric fuel price responses under heterogeneityRipollés, Jordi et al. | 2016
- 291
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Does FDI influence renewable energy consumption? An analysis of sectoral FDI impact on renewable and non-renewable industrial energy consumptionNarayan, Seema et al. | 2016
- 302
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On the predictability of energy commodity markets by an entropy-based computational methodBenedetto, F et al. | 2016
- 313
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Estimating direct rebound effects for personal automotive travel in Great BritainSorrell, Steve et al. | 2016
- 326
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Market-specific news and its impact on forward premia on electricity marketsLazarczyk, Ewa et al. | 2016
- 337
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Regulatory interventions in the US oil and gas sector: How do the stock markets perceive the CFTC's announcements during the 2008 financial crisis?Berk, Istemi et al. | 2016
- 349
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Border carbon adjustment and trade retaliation: What would be the cost for the European Union?Fouré, Jean et al. | 2016
- 363
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A multiplicative environmental DEA approach to measure efficiency changes in the world's major pollutersSmyth, Russell et al. | 2016
- 376
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Are fundamentals enough? Explaining price variations in the German day-ahead and intraday power marketHagemann, Simon et al. | 2016
- 388
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Carbon emissions in China: How far can new efforts bend the curve?Zhang, Xiliang et al. | 2016
- 396
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Decomposing energy demand across BRIIC countriesGlass, Anthony J et al. | 2016
- 405
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Climate normals and weather normalization for utility regulationSeoung Joun Won et al. | 2016
- 417
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Oil price volatility and stock returns in the G7 economiesDiaz, Elena Maria et al. | 2016
- 431
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Energy price shocks and economic activity: Which energy price series should we be using?Melichar, Mark et al. | 2016
- 444
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International spillover and rebound effects from increased energy efficiency in GermanyKoesler, Simon et al. | 2016