[u' @inproceedings{kamara-esteban_can_2019, address = {Thessaloniki, Greece}, title = {Can {I} {Shift} {My} {Load}? {Optimizing} the {Selection} of the {Best} {Electrical} {Tariff} for {Tertiary} {Buildings}}, doi = {https://doi.org/10.1007/978-3-030-34995-0_60}, abstract = {Sustainability is strongly related to the appropriate use of available resources, being an important cornerstone in any company\u2019s administration due to the direct influence on its efficiency and ability to compete in the global market. Therefore, the intelligent and proper management of these resources is a pressing matter in terms of cost savings. Among the possible alternatives for optimisation, the one regarding electricity consumption stands out due to its strong influence on the expenses account. In general, this type of optimisation can be carried out from two different perspectives: one that concerns the efficient use of energy itself and the other related to the proper adjustment of the electricity contract so that it meets the infrastructure needs while avoiding extra costs derived from poorly sized bills. This paper describes the application of an artificial intelligence based methodology for the optimisation of the \u2026}, booktitle = {International {Conference} on {Computer} {Vision} {Systems}}, publisher = {Springer, Cham}, author = {Kamara-Esteban, Oihane and Borges, Cruz E. and Casado-Mansilla, Diego}, year = {2019}, pages = {658--669} }']