Estimating residential demand for electricity in Greece
By G. Hondroyiannis. 2004
197 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Renewable Energy, Sustainability and the Environment
View Paper: https://www.semanticscholar.org/paper/97f3c936ef2dc45f1d96123e6b44a29c456069c8
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Roula Inglesi
- Leticia Blázquez
- N. Boogen
- Lefteris Tsoulfidis
- P. Athukorala
- T. Zachariadis
- Massimo Filippini
- Xavier Labandeira Villot
In Renewable Energy, Sustainability and the Environment
- Roula Inglesi
- Leticia Blázquez
- N. Boogen
- Lefteris Tsoulfidis
- P. Athukorala
- T. Zachariadis
- Massimo Filippini
- Xavier Labandeira Villot
Citations in the corpus
- An empirical analysis of electricity consumption in Cyprus (2007, methodology): “In line with several recent approaches (for a summary see e.g. Hondroyiannis, 2004), our purpose was to analyse electricity use in relation to appropriate economic activity or income variables, electricity prices and weather fluctuations, within a multivariate vector autoregressive framework.”
- Residential electricity demand in Spain: New empirical evidence using aggregate data (2013, background): “While these results are again lower than the one found in Labandeira et al. (2006) –they found an elasticity of 0.70— they are in consonance with other studies, for example, LethPetersen (2002) for Denmark, Hondroyiannis (2004) for Greece or Holtedahl and Joutz (2004) for Taiwan.”
- Estimating short and long-term residential demand for electricity: New evidence from Sri Lanka (2010, background): “Effective electricity planning requires a thorough understanding of the prevailing electricity demand patterns, constraints and future challenges (Pillai, 2001; Hondroyiannis, 2004).”
- Estimation of Elasticity Price of Electricity with Incomplete Information (2012, background): “Filippini (1999), García-Cerruti (2000), Hondroyiannis (2004), Holtedahl and Joutz (2004) and Narayan and Smyth (2005), too, can be classified in this group for the case of residential demand.”
- Aggregate electricity demand in South Africa: Conditional forecasts to 2030 (2010, background): “02 na na 2004 Hondroyiannis [16] Greece 1986–1999 1.”
- Estimating space heating determinants: An analysis of Greek households (2008, background): “In case of Greece, attention has been paid to the structure of residential energy demand [22,23].”
- Estimating Residential Demand for Electricity in the United States, 1965-2006 (2008, background): “The contribution of our study compared to other similar ones which are trying to model the demand for residential electricity (see for example Zahariadis and Pashourtidou, 2007; Halicioglu, 2007; Narayan and Smyth, 2005; Kamerschen and Porter, 2004; Hondroyiannis, 2004), is the use of the per capita”