Simulating the performance of market-based policies for renewable energy using learning trading agents

R Fagiani; RA Hakvoort

doi:10.1109/EEM.2014.6861207

Simulating the performance of market-based policies for renewable energy using learning trading agents

Energy and Industry

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

5 Citations (Scopus)

Original language	English
Title of host publication	11th International conference on the European energy market (EEM), 2014
Place of Publication	Piscataway
Publisher	IEEE Society
Pages	1-5
Number of pages	5
ISBN (Print)	9781479960958
DOIs	https://doi.org/10.1109/EEM.2014.6861207
Publication status	Published - 2014
Event	11th International Conference on the European Energy Market (EEM), Krakow, Poland - Piscataway Duration: 28 May 2014 → 30 May 2014

Publication series

Name
Publisher	IEEE

Conference

Conference	11th International Conference on the European Energy Market (EEM), Krakow, Poland
Period	28/05/14 → 30/05/14

Bibliographical note

harvest,
werkrelatie aanpassen,

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/EEM.2014.6861207

Cite this

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title = "Simulating the performance of market-based policies for renewable energy using learning trading agents",

author = "R Fagiani and RA Hakvoort",

note = "harvest, werkrelatie aanpassen,; 11th International Conference on the European Energy Market (EEM), Krakow, Poland ; Conference date: 28-05-2014 Through 30-05-2014",

year = "2014",

doi = "10.1109/EEM.2014.6861207",

language = "English",

isbn = "9781479960958",

publisher = "IEEE Society",

pages = "1--5",

booktitle = "11th International conference on the European energy market (EEM), 2014",

}

Fagiani, R & Hakvoort, RA 2014, Simulating the performance of market-based policies for renewable energy using learning trading agents. in 11th International conference on the European energy market (EEM), 2014. IEEE Society, Piscataway, pp. 1-5, 11th International Conference on the European Energy Market (EEM), Krakow, Poland, 28/05/14. https://doi.org/10.1109/EEM.2014.6861207

Simulating the performance of market-based policies for renewable energy using learning trading agents. / Fagiani, R; Hakvoort, RA.
11th International conference on the European energy market (EEM), 2014. Piscataway: IEEE Society, 2014. p. 1-5.

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Simulating the performance of market-based policies for renewable energy using learning trading agents

AU - Fagiani, R

AU - Hakvoort, RA

N1 - harvest, werkrelatie aanpassen,

PY - 2014

Y1 - 2014

U2 - 10.1109/EEM.2014.6861207

DO - 10.1109/EEM.2014.6861207

M3 - Conference contribution

SN - 9781479960958

SP - 1

EP - 5

BT - 11th International conference on the European energy market (EEM), 2014

PB - IEEE Society

CY - Piscataway

T2 - 11th International Conference on the European Energy Market (EEM), Krakow, Poland

Y2 - 28 May 2014 through 30 May 2014

ER -