Remarks on linear modelling for assessment of electricity consumption in Albania


Abstract views: 19 / PDF downloads: 17

Authors

  • Sandër Kovaçi Polytechnic University of Tirana
  • Mira Kovaçi Center of Advanced Training

Keywords:

Linear Modelling, Electricity Consumption, Distribution, Nonlinear Analysis

Abstract

The significance of the projected response by a standard model is conditioned from the accuracy
of the prediction of the cause variables, the models used and also from the dynamics of the factor variables
which affect the response. In this work we have discussed about predictions methods of the consumption
of the electricity in Albania. We considered simple linear models which involves heterogeneous variables
such as the temperature, and slowly varying variable as the econometric quantities, empirical trend and
regression analysis. We concluded that using a single model the prediction and forecasting is questionable,
and when considering several methods, we can recognise the range of the expected changes. For enhancing
the prediction of the response variable in this case a deeper non-stationarity analysis, and more variables
must be considered.

Downloads

Download data is not yet available.

Author Biographies

Sandër Kovaçi, Polytechnic University of Tirana

Department of Mathematical Engineering,  Albania

Mira Kovaçi, Center of Advanced Training

 Tirana, Albania

References

Richard F. Hirsh and Jonathan G. Koomey. Electricity Consumption and Economic Growth: A New Relationship with Significant Consequences? Richard F. Hirsh and Jonathan G. Koomey. November 2015, Vol. 28, Issue 9 1040-6190/# 2015 Elsevier Inc. All rights reserved., http://dx.doi.org/10.1016/j.tej.2015.10.002 7

Tieyan Zhang, Yun Teng, Zhe Chen, and Jiakun Fang. Monthly Electricity Consumption Forecasting Method Based on X12 and STL Decomposition Model in an Integrated Energy System Tianhe Sun, Mathematical Problem in Engineering. Volume 2019 Article ID 9012543 https://doi.org/10.1155/2019/9012543

Elmira Kushta, Dode Prenga, Astrit Denaj, Valbona Tahiraj, Elmira Kushta, An Empirical Approach in The Study of Heterogenous Na-Tech Systems. International Academic Conference. Education and Social Sciences Business and Economics Corvinus University, Budapest, Hungary, 12 May 2023

Dode Prenga, Margarita Ifti; Complexity methods used in the study of some real systems with weak characteristic properties. AIP Conf. Proc. 25 March 2016; 1722 (1): 080006. https://doi.org/10.1063/1.4944171

Linh Phuong Catherine Do, Kuan-Heng Lin, Peter Molnár, Electricity consumption modelling: A case of Germany, Economic Modelling, Volume 55, 2016, Pages 92-101,

Ozair Ali. Revitalizing the Albanian Electricity Sector. Report, Centre for International Development Harvard University

https://www.irena.org/

Bunn, D. W. (1982). Short-Term Forecasting: A Review of Procedures in the Electricity Supply Industry. Journal of the Operational Research Society, 33(6), 533–545. https://doi.org/10.1057/jors.1982.116.

Hannah Ritchie and Pablo Rosado (2020) - “Electricity Mix” Published online at OurWorldInData.org. Retrieved from: 'https://ourworldindata.org/electricity-mix' [Online Resource]

Worldometer: www.Worldometers.info.

Instat: http://www.instat.gov.al

https://www.kesh.al/en/

P Geraskin, D Fantazzini. Everything you always wanted to know about log-periodic power laws for bubble modelling but were afraid to ask. The European Journal of Finance 19 (5), 366-391

C. Tsallis. Economics and Finance: q-Statistical Stylized Features Galore. Entropy. 2017; 19(9):457.

S. Umarov, C. Tsallis, and S. Steinberg, “On a q-Central Limit Theorem Consistent with Nonextensive Statistical Mechanics,” Milan J. Math, vol. Online First, 2008.

Sornette, D. (1998). Discrete-scale invariance and complex dimensions. Physics Reports, 297(5), 239–270. doi:10.1016/s0370-1573(97)00076-8

Sandër Kovaçi, Dode Prenga, Margarita Ifti, "Analysis of distributions and dynamics for water side inflows in the Drin River basin, Albania". INTERNATIONAL JOURNAL OF ENGINEERING & TECHNICAL RESEARCH, VOL.3, 2015 ISSN: 2321-0869 (O) 2454-4698 (P)

Prenga, D., Peqini, K., & Osmani, R. (2021, November). The analysis of the dynamics of the electorate system by using q-distribution-a case study. In Journal of Physics: Conference Series (Vol. 2090, No. 1, p. 012073). IOP Publishing.

Kushta, E., Vuka, E., Prenga, D., & Dika, I. (2024). Investigating Statistical Features of the FX Bid Ask Series in a Small Economy with a Sizeable Informal Economy. Journal of Human, Earth, and Future, 5(1), 19-33.

Mira Kovaçi,,Sandër Kovaçi, “Analysis of The Impact of Different Technologies for Diversification of Electricity Production from Renewable Sources in Albania”, in Proceedings of INTERNATIONAL SCIENTIFIC CONFERENCE, ISCOIM, Durrës, Albania, 2018.

Downloads

Published

2024-08-29

How to Cite

Kovaçi, S., & Kovaçi, M. (2024). Remarks on linear modelling for assessment of electricity consumption in Albania. International Journal of Advanced Natural Sciences and Engineering Researches, 8(7), 258–267. Retrieved from https://as-proceeding.com/index.php/ijanser/article/view/1995

Issue

Section

Articles