Carbon Market Multi-agent Simulation Model

• Tipo: Artigo em Livro de Atas de Conferência Internacional
• Data: 2021

Autores

de Sousa, JBN (Autor) Outra; Zafeiris Kokkinogenis (Autor) Outra; Rosaldo J. F. Rossetti (Autor) FEUP

Ata de Conferência Internacional

Título: PROGRESS IN ARTIFICIAL INTELLIGENCE (EPIA 2021)

Páginas: 661-672

20th EPIA Conference on Artificial Intelligence (EPIA)

ELECTR NETWORK, SEP 07-09, 2021

Indexação

ISI Web of Knowledge - 1 Citação

Scopus - 1 Citação

Outras Informações

ID Authenticus: 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.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 12