2024-03-29T02:06:25Zhttps://gredos.usal.es/oai/requestoai:gredos.usal.es:10366/1316462022-02-07T16:12:10Zcom_10366_131610com_10366_122682com_10366_4666com_10366_3823col_10366_131611
Faia, Ricardo
Pinto, Tiago
Vale, Zita
2016-11-04T09:28:02Z
2016-11-04T09:28:02Z
2016-07-07
ADCAIJ: Advances in Distributed Computing and Artificial Intelligence Journal, 5 (2016)
2255-2863
http://hdl.handle.net/10366/131646
Artificial Intelligence (AI) methods contribute to the construction of systems where there is a need to automate the tasks. They are typically used for problems that have a large response time, or when a mathematical method cannot be used to solve the problem. However, the application of AI brings an added complexity to the development of such applications. AI has been frequently applied in the power systems field, namely in Electricity Markets (EM). In this area, AI applications are essentially used to forecast / estimate the prices of electricity or to search for the best opportunity to sell the product. This paper proposes a clustering methodology that is combined with fuzzy logic in order to perform the estimation of EM prices. The proposed method is based on the application of a clustering methodology that groups historic energy contracts according to their prices’ similarity. The optimal number of groups is automatically calculated taking into account the preference for the balance between the estimation error and the number of groups. The centroids of each cluster are used to define a dynamic fuzzy variable that approximates the tendency of contracts’ history. The resulting fuzzy variable allows estimating expected prices for contracts instantaneously and approximating missing values in the historic contracts.
European Commision (EC). Funding H2020/MSCARISE. Project Code: 641794
Fundaçao para a Ciência e a Tecnologia I.P. (FCT). Project Code: 147448
application/pdf
eng
Ediciones Universidad de Salamanca (EspaÑa)
Attribution-NonCommercial-NoDerivs 3.0 Unported
https://creativecommons.org/licenses/by-nc-nd/3.0/
info:eu-repo/semantics/openAccess
Computación
Informótica
Computing
Information Technology
Dynamic Fuzzy Clustering Method for Decision Support in Electricity Markets Negotiation
info:eu-repo/semantics/article
641794 (EC)
147448 (FCT)