Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition
العنوان: | Preliminary results of advanced heuristic optimization in the risk-based energy scheduling competition |
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المؤلفون: | Almeida, José, Lezama, Fernando, Soares, João, Vale, Zita, Canizes, Bruno |
المساهمون: | Repositório Científico do Instituto Politécnico do Porto |
المصدر: | Proceedings of the Genetic and Evolutionary Computation Conference Companion. |
بيانات النشر: | ACM, 2022. |
سنة النشر: | 2022 |
مصطلحات موضوعية: | Search methodologies, Engineering, Energy resource management, evolutionary computation, risk analysis, Applied computing, optimization, Computing methodologies |
الوصف: | In this paper, multiple evolutionary algorithms are applied to solve an energy resource management problem in the day-ahead context involving a risk-based analysis corresponding to the proposed 2022 competition on evolutionary computation. We test numerous evolutionary algorithms for a risk-averse day-ahead operation to show preliminary results for the competition. We use evolutionary computation to follow the competition guidelines. Results show that the HyDE algorithm obtains a better solution with lesser costs when compared to the other tested algorithm due to the minimization of worst-scenario impact. This research has received funding from FEDER funds through the Operational Programme for Competitiveness and Internationaliza- tion (COMPETE 2020), under Project POCI-01-0145-FEDER-028983; by National Funds through the FCT Portuguese Foundation for Science and Technology, under Projects PTDC/EEI-EEE/28983/2017 (CENERGETIC), CEECIND/02814/2017, UIDB/000760/2020, and UIDP/00760/2020 |
وصف الملف: | application/pdf |
الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9b31aed94b92cd6cd73348671d04f946Test https://doi.org/10.1145/3520304.3535080Test |
حقوق: | OPEN |
رقم الانضمام: | edsair.doi.dedup.....9b31aed94b92cd6cd73348671d04f946 |
قاعدة البيانات: | OpenAIRE |
الوصف غير متاح. |