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EN
Key factors influencing electricity consumption in the residential sector in Poland have been iden-tified. A fixed-effects model was used, which includes time effects, and a set of covariates, based on the model developed by Houthakker et al. This model estimates electricity demand by using lagged values of the dependent variable along with current and lagged values of electricity prices, and other variables that affect electricity demand such as: population, economic growth, income per capita, price of related goods, etc. The model has been identified according to the research results of the authors and those obtained by Bentzen and Engsted. The set of covariates was extended to the lagged electricity price given by a tariff (taken from two years previous to the time of interest) and heating degree days index, a very important factor in European Union countries, where the climate is temperate. The authors propose four models of residential electricity demand, for which a confidence interval of 95% has been assumed. Estimation was based on Polish quarterly data for the years 2003–2013.
EN
The main aim of this article is to present an approach to planning the implementation of innovative technologies and introducing strategical modernization into power plants using the results of two foresight studies conducted by the authors. The results of these foresights were obtained from the two projects: a corporate foresight conducted in Ukraine and a regional foresight linked to the energy sector in Lower Silesia (a region in Poland). Using the method of foresight allows us to look at strategical modernization more holistically and take the different points of view of a wide range of stakeholders into consideration. Such an approach could be used to establish a set of measures aimed at the continuous improvement of technical, technological, socioeconomic and environmental processes in power plants (e.g., the operation of Ukrainian hydroelectric power plants). Although various approaches to foresight (e.g., corporate foresight and regional foresight) have been applied in different countries, the corresponding processes of planning innovation and modernization are similar.
EN
Microgeneration of energy has the potential to become an important component of the energy policy of many governments, because it may substantially lower carbon emissions and reduce the need for new infrastructure. Nevertheless, from recent studies it follows that, even in the developed countries, microgeneration technology is far from being widely adopted. In this study, we use data collected in a survey conducted in Lower Silesia, a south-western region of Poland, to build behavioural profiles of energy consumers, in order to get some insights into barriers to microgeneration becoming extensively adopted. In particular, we exploit the decision tree method to determine typical attributes of potential prosumers, to find the relative importance of these attributes and, finally, to make some predictions based on data that were not used in constructing the model. From our findings, it follows that economical criteria are the most important triggers for considering the installation of microgeneration technologies. Thus any governmental initiative promoting pro-ecological behaviours, including the use of renewable energy sources, should be based primarily on financial incentives to succeed.
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