Forecasting Competition in the Electricity Market of Greece: a Prey-Predator Approach
Persefoni Mitropoulou (),
Eirini Papadopoulou,
Georgia Dede and
Christos Michalakelis
Additional contact information
Persefoni Mitropoulou: Harokopio University
Eirini Papadopoulou: Harokopio University
Georgia Dede: Harokopio University
Christos Michalakelis: Harokopio University
SN Operations Research Forum, 2022, vol. 3, issue 3, 1-31
Abstract:
Abstract This paper studies and forecasts the evolution of concentration of Greek energy market, expressed by market shares of operators. The evolution of liberalization process of the Greek electricity market is dynamically estimated based on concepts of population biology, according to specific data for providers’ market shares. Using the Lotka–Volterra model and Integral method to determine the unknown parameters, the methodology of prey-predator model is applied to describe the competition among Greek alternative electricity providers, towards obtaining a larger market share from the common source of electrical energy of current dominant provider and future adopters. The proposed model managed to validate the available statistical data for the examined case study and is proven to be suitable for forecasting market concentration and equilibrium in electricity area. The evaluation reveals that the market share of the incumbent operator is expected to remain quite high by the year 2020 and this is why the application of a cropping strategy is proposed in order to reduce its share to 50% complied with European directions and ensure smooth coexistence of the two interacting species. The described methodology can become a powerful managerial tool for decision-makers and providers in order to drive performance and price competitiveness.
Keywords: Market shares; Market competition; Lotka-Volterra model; Electricity forecasting; Prey-predator species; Cropping (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s43069-022-00143-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:snopef:v:3:y:2022:i:3:d:10.1007_s43069-022-00143-x
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/43069
DOI: 10.1007/s43069-022-00143-x
Access Statistics for this article
SN Operations Research Forum is currently edited by Marco Lübbecke
More articles in SN Operations Research Forum from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().