Carbon Market Multi-agent Simulation Model

• Type: Article in International Conference Proceedings Book
• Date: 2021

Authors

de Sousa, JBN (Author) Other; Zafeiris Kokkinogenis (Author) Other; Rosaldo J. F. Rossetti (Author) FEUP

Conference proceedings International

Title: PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021)

Pages: 661-672

20th EPIA Conference on Artificial Intelligence (EPIA)

ELECTR NETWORK, SEP 07-09, 2021

Indexing

ISI Web of Knowledge - 1 Citation

Scopus - 1 Citation

Other information

Authenticus ID: P-00V-F5K

DOI: 10.1007/978-3-030-86230-5_52

Abstract (EN): Carbon Markets are a market-based tool to help the fight against climate change by reducing greenhouse gases (GHG) emissions. Corporations have to buy allowances covering the emissions they produce, being required to pay heavy penalties otherwise. It is based on the 'cap and trade' principle, meaning that there is a cap value - the maximum number of allowances being sold - providing scarcity to the market. This paper proposes a formalization of an agent-based model that replicates the context of applying a carbon auction market and other regulatory mechanisms and presents the results of various experiments of different policies to gather some intuitions regarding the functioning of carbon markets.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 12