Publicações
Publicação em Conferência – HERNANDEZ, A., RUANO, A., UREÑA, J., RUANO, M. G. & GARCIA, J. J. 2019. Applications of NILM Techniques to Energy Management and Assisted Living. IFAC-PapersOnLine, 52, 11, 164-171
Publicação em Revista – RUANO, A., HERNANDEZ, A., UREÑA, J., RUANO, M. & GARCIA, J. 2019. NILM Techniques for Intelligent Home Energy Management and Ambient Assisted Living: A Review. Energies, 12, 11, 2203
Publicação em Conferência – LAOUALI, I., QASSEMI, H., MARZOUQ, M., RUANO, A., BENNANI, S. & EL FADILI, H. 2020. A nonlinear autoregressive neural network model for forecasting appliance power consumption In: S., B., Y., L., G., K., A., M. & Y., K. (Eds.) WITS 2020. Lecture Notes in Electrical Engineering. Singapore: Springer, 745, 759-768
Publicação em Conferência – BOT, K., RUANO, A. & RUANO, M. G. 2020. Forecasting Electricity Demand in Households using MOGA-designed Artificial Neural Networks. IFAC-PapersOnLine, 53, 2, 8255-8230
Publicação em Conferência – BOT, K., RUANO, A. & RUANO, M. G. 2020. Forecasting Electricity Consumption in Residential Buildings for Home Energy Management Systems. In: LESOT, M.-J., VIEIRA, S., REFORMAT, M. Z., CARVALHO, J. P., WILBIK, A., BOUCHON-MEUNIER, B. & YAGER, R. R. (Eds.) Information Processing and Management of Uncertainty in Knowledge-Based Systems (IPMU). Springer International Publishing, 1237, 313-326
Publicação em Conferência– LAOUALI, I., QASSEMI, H., MARZOUQ, M., RUANO, A., BENNANI, S. & EL FADILI, H. A Survey on Computational Intelligence Techniques for Non Intrusive Load Monitoring. 2020 International Conference on Electronics, Control, Optimization and Computer Science (ICECOCS), 2-3 Dec 2020 Kenitra, Morocco. 9314383
Publicação em Conferência – RUANO, A., QASSEMI, H., INOUSSA, H., MARZOUQ, M., FADILI, H. E. & BENNANI, S. 2020. A Model-based Predictive Control approach for Home Energy Management Systems. First results. In: S., B., Y., L., G., K., A., M. & Y., K. (Eds.) WITS 2020. Lecture Notes in Electrical Engineering. Singapore: Springer, 745, 735-747
Publicação em Revista – BOT, K., LAOUALI, I., RUANO, A. & RUANO, M. D. G. 2021. Home Energy Management Systems with Branch-and-Bound Model-Based Predictive Control Techniques. Energies, 14, 18, 5852
Publicação em Revista – BOT, K., RUANO, A. & RUANO, M. D. G. 2021. Short-Term Forecasting Photovoltaic Solar Power for Home Energy Management Systems. Inventions, 6, 1, 1-23
Publicação em Conferência – RUANO, A., BOT, K. & RUANO, M. G. 2021. Home Energy Management System in an Algarve residence. First results. In: A, G. J., M., B.-C. & J.P., C. (Eds.) CONTROLO 2020: Proceedings of the 14th APCA International Conference on Automatic Control and Soft Computing. Bragança, Portugal: Springer Science and Business Media Deutschland GmbH, Lecture Notes in Electrical Engineering, 695, 332-341
Publicação em Revista – BOT, K., SANTOS, S., LAOUALI, I., RUANO, A. & RUANO, M. G. 2021. Design of Ensemble Forecasting Models for Home Energy Management Systems. Energies, 14, 22, 7664.
Capítulo de Livro – RUANO, A., BOT, K. & RUANO, M. D. G. 2021. The Impact of Occupants in Thermal Comfort and Energy Efficiency in Buildings. Occupant Behaviour in Buildings: Advances and Challenges. Sharjah, U.A.E.: Bentham Science, 6, 101-137
Publicação em Revista – LAOUALI, I., RUANO, A., RUANO, M. D. G., BENNANI, S. D. & FADILI, H. E. 2022. Non-Intrusive Load Monitoring of Household Devices Using a Hybrid Deep Learning Model through Convex Hull-Based Data Selection. Energies, 15, 3, 1215
Publicação em Revista – GOMES, I., K. BOT, M. D. G. RUANO AND A. RUANO 2022. Recent Techniques Used in Home Energy Management Systems: A Review. Energies 15, 8, 2866.
Publicação em Revista – LAOUALI, I., GOMES, I., RUANO, M. D. G., BENNANI, S. D., FADILI, H. E. & RUANO, A. 2022. Energy Disaggregation Using Multi-Objective Genetic Algorithm Designed Neural Networks. Energies, 15, 23, 9073
Publicação em Revista –GOMES, I. L. R., RUANO, M. G. & RUANO, A. E. 2023. MILP-based model predictive control for home energy management systems: A real case study in Algarve, Portugal. Energy and Buildings, 281, 112774