RT Journal Article
T1 Scalable method for administration of resource technologies under stochastic procedures
A1 Merino-Córdoba, Salvador
A1 Martínez-del-Castillo, Javier
A1 Guzmán-Navarro, Francisco
A1 Sánchez-Pacheco, Francisco José
A1 Guzmán-Sepúlveda, Rafael
A1 Sidrach-de-Cardona-Ortin, Mariano
A1 Lara-Fernández, Juan de Dios
K1 Ingeniería sostenible
K1 Recursos energéticos - Modelos matemáticos
AB During the development of the S3Unica project (Smart Specialisation University Campus) and its application in the ASSET project (Advanced Systems Studies for Energy Transition), both within the European Commission, the resolution of the distributed energy generation model was proposed through the creation of an algorithm that would allow the shared market between producers and consumers. From this premise arose the need to create a replicable system to resolve this situation in the new shared generation environment, using low-cost technologies. This work develops the scalable method for resource management technologies (SMART), based on stochastic procedures, which generates microgrids with an integrated energy market. The interest of this work is based on the incorporation of real-time analysis, applying stochastic methods, and its fusion with probabilistic predictive methods that evolve and harmonise the results. The fact that the process is self-learning also enables the use of metadomotic as a tool for both comfort improvement and energy sharing. The most important results developed were the design of the internal scheme of the low-cost SMART control device together with the developments of both individual and collective resolution algorithms. By achieving the incorporation of internal and external producers in the same numerical procedure, the distributed and hybrid generation models are solved simultaneously.
PB Elsevier
YR 2022
FD 2022-11-09
LK https://hdl.handle.net/10630/26326
UL https://hdl.handle.net/10630/26326
LA eng
NO Merino, S., Martínez, J., Guzmán, F., Sánchez, F. J., Guzmán, R., de Cardona, M. S., & Lara, J. D. (2023). Scalable method for administration of resource technologies under stochastic procedures. Applied Mathematics and Computation, 440, 127652.
NO We thank the support of this paper from University of Malaga and CBUA (funding for open access charge: Universidad de Málaga / CBUA) and we thank also the anonymous reviewers whose suggestions helped improve and clarify this manuscript.This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026