Residential electricity consumption in Poland
Journal Title: Operations Research and Decisions - Year 2016, Vol 26, Issue 3
Abstract
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.
Authors and Affiliations
Edyta ROPUSZYŃSKA-SURMA, Magdalena WĘGLARZ
Max-plus algebra as a tool to modelling and performance analysis of manufacturing systems
This contribution discusses the usefulness of (max, +) algebra as a mathematical framework for a class of manufacturing systems. This class can be described as dynamic and asynchronous, where the state transitions are in...
Ruin probability of a discrete-time risk process with proportional reinsurance and investment for exponential and Pareto distributions
The paper focuses on a quantitative analysis of the probability of ruin in a finite time for a discrete risk process with proportional reinsurance and investment of the financial surplus. It is assumed that the total los...
Residential electricity consumption in Poland
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 develope...
Robust bi-level optimization for an opportunistic supply chain network design problem in an uncertain and risky environment
This paper introduces the problem of designing a single-product supply chain network in an agile manufacturing setting under a vendor managed inventory (VMI) strategy to seize a new market oppor-tunity. The problem addre...
Efficiency measurement in dynamic two-stage network structures with flexible intermediate materials
Data envelopment analysis (DEA) is a nonparametric method for evaluating the relative efficiency of decision making units (DMUs) described by multiple inputs and multiple outputs. Since DEA was introduced in the 1970s, i...