Evolutionary scheduling of university activities based on consumption forecasts to minimise electricity costs

Autor: Ruddick, Julian, Genov, Evgenii, Camargo, Luis Ramirez, Coosemans, Thierry, Messagie, Maarten, Integr. of Intermittent Renewable Energy, Innovation Studies

Publikováno v: Vrije Universiteit Brussel
2022 IEEE Congress on Evolutionary Computation, CEC 2022-Conference Proceedings. Institute of Electrical and Electronics Engineers Inc.
2022 IEEE Congress on Evolutionary Computation, CEC 2022-Conference Proceedings

This paper presents a solution to a predict then optimise problem which goal is to reduce the electricity cost of a university campus. The proposed methodology combines a multi-dimensional time series forecast and a novel approach to large-scale opti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3248850014eb64c699be29b47ae31bf
http://arxiv.org/abs/2202.12595

Evolutionary Scheduling

Autor: Dahal, Keshav P., Tan, K.C., Cowling, Peter I.

Externí odkaz: http://hdl.handle.net/10454/2289

Knowledge Insertion: an Efficient Approach to Reduce Search Effort in Evolutionary Scheduling

Autor: Pandolfi, Daniel, Lasso, Marta Graciela, San Pedro, María Eugenia de, Villagra, Andrea, Gallard, Raúl Hector

Publikováno v: SEDICI (UNLP)
Universidad Nacional de La Plata
instacron:UNLP
Journal of Computer Science and Technology, Vol 4, Iss 02, Pp 109-114 (2004)

Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::5b8ca8b025b77c1ce6addea98a663d94
http://sedici.unlp.edu.ar/handle/10915/9489

Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.