Journal Articles
2015(1 publication)
[publication]Figueiredo, M. and Ribeiro, B. and Ana Maria de Almeida , "Analysis of Trends in Seasonal Electrical Energy Consumption via Non-negative Tensor Factorization,", Neurocomputing, Elsevier,  vol. 170,  pp. 318-327, 2015
[citation][year=2016]Yuankai Wua, Huachun Tana,Yong Lib, Feng Lic, Hongwen Hea. Robust tensor decomposition based on Cauchy distribution and its application, Neurocomputing, Volume 223(5): 107–117, 2017 (to appear)

2014(1 publication)
[publication]Figueiredo, M. and Ribeiro, B. and Ana Maria de Almeida , "Electrical signal source separation via non-negative tensor factorization using on-site measurements in a smart home", IEEE Transactions on Instrumentation and Measurement,  vol. 63,  pp. 364-373, 2014
[citation][year=2016]He, Kanghang, et al. "Non-intrusive load disaggregation using graph signal processing." IEEE Transactions on Smart Grid (2016).
[citation][year=2016]Pöchacker, Manfred, Dominik Egarter, and Wilfried Elmenreich. "Proficiency of Power Values for Load Disaggregation." IEEE Transactions on Instrumentation and Measurement 65.1 (2016): 46-55.
[citation][year=2015]M Pöchacker, D Egarter, W Elmenreich; "Proficiency of Power Values for Load Disaggregation" - arXiv preprint arXiv:1503.08081, 2015.
[citation][year=2015]Egarter, D. ; Bhuvana, V.P. ; Elmenreich, W. PALDi: Online Load Disaggregation via Particle Filtering. Instrumentation and Measurement, IEEE Transactions on, Volume:64(2), pp. 467 - 477, 2015 (On-line since 21 August 2014).
[citation][year=2015]A. Cominolaa, M. Giuliania, D. Pigab, A. Castellettia, c, , , A.E. Rizzolid. Benefits and challenges of using smart meters for advancing residential water demand modeling and management: A review. Environmental Modelling & Software, Vol. 72, (2015), pp. 198–214, doi:10.1016/j.envsoft.2015.07.012.
[citation][year=2015]Bonfigli, R.; Squartini, S.; Fagiani, M. ; Piazza, F. Unsupervised algorithms for non-intrusive load monitoring: An up-to-date overview. Environment and Electrical Engineering (EEEIC), 2015 IEEE 15th International Conference on, pp. 1175 - 1180  (2015).
[citation][year=2014]Peng, Shi ; Yunqing, Qu ; Hongshuo, Liang. "Personalized Image Tag Recommendation Algorithm for Web2.0 Platform Utilizing Tensor Factorization". IEEE Proc. Fifth International Conference on Intelligent Systems Design and Engineering Applications (ISDEA), pp. 718 - 721 (2014)
[citation][year=2014]Toth-Laufer, E and; Varkonyi-Koczy, A.R., "A Soft Computing-Based Hierarchical Sport Activity Risk Level Calculation Model for Supporting Home Exercises",  IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, VOL. 63, NO. 6, pp.1400-1411, 2014.

2012(1 publication)
[publication]Figueiredo, M. and Ana Maria de Almeida and Ribeiro, B. , "Home Electrical Signal Disaggregation for Non-intrusive Load Monitoring (NILM) Systems", Neurocomputing, Elsevier,  vol. 96,  pp. 66-73, 2012
[citation][year=2018]Buddhahaia, B., Wongsereeb, W. and Rakkwamsuka, P., A non-intrusive load monitoring system using multi-label classification approach. Sustainable Cities and Society, Volume 39, Pages 621-630, 2018.
[citation][year=2018]Kwak, Y.; Hwang, J.; Lee, T. Load Disaggregation via Pattern Recognition: A Feasibility Study of a Novel Method in Residential Building. Energies 2018, 11, 1008
[citation][year=2018]Xue, Y.L., Lin, W. nd Liu, Z.Y., "Admittance-based load signature construction for non-intrusive appliance load monitoring",
Energy and Buildings, Volume 171, pp. 209-219, 2018.
DOI: 10.1016/j.enbuild.2018.04.049
[citation][year=2017]N. Henao, K. Agbossou, S. Kelouwani, Y. Dubé and M. Fournier, "Approach in Nonintrusive Type I Load Monitoring Using Subtractive Clustering," in IEEE Transactions on Smart Grid, vol. 8, no. 2, pp. 812-821, March 2017.
[citation][year=2017]S. M. Tabatabaei, S. Dick and W. Xu, "Toward Non-Intrusive Load Monitoring via Multi-Label Classification," in IEEE Transactions on Smart Grid, vol. 8, no. 1, pp. 26-40, Jan. 2017.
[citation][year=2017]A. A. Munshi; Y. A. R. I. Mohamed, "Extracting and Defining Flexibility of Residential Electrical Vehicle Charging Loads," in IEEE Transactions on Industrial Informatics , vol.PP, no.99, pp.1-1
[citation][year=2017]Andre L.L. Aquino, Heitor S. Ramos, Alejandro C. Frery, Leonardo P. Viana, Tamer S.G. Cavalcante, Osvaldo A. Rosso, Characterization of electric load with Information Theory quantifiers, Physica A: Statistical Mechanics and its Applications, Volume 465, 2017, Pages 277-284
[citation][year=2017]D. Ponce de Leon Barido, S. Suffian, J. Rosa, E. Brewer, and D. M. Kammen. 2017. Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments. In Proceedings of the Second International Conference on Internet-of-Things Design and Implementation (IoTDI '17). ACM, New York, NY, USA, 233-245.
[citation][year=2017]Trung Kien Nguyen, Eric Dekneuvel, Gilles Jacquemod, Benjamin Nicolle, Olivier Zammit, Van Cuong Nguyen, Development of a real-time non-intrusive appliance load monitoring system: An application level model, International Journal of Electrical Power & Energy Systems, Volume 90, 2017, Pages 168-180
[citation][year=2017]Wang Sen and Yang Dongsheng and Guo Chuchen and Du Shengxian, Non-intrusive Load Disaggregation Based on Kernel Density Estimation, IOP Conference Series: Materials Science and Engineering, 199 -1, pp. 012078.
[citation][year=2017]Azaza, M., Wallin, F. "Evaluation of classification methodologies and Features selection from smart meter data ". Energy Procedia, vol 142, pp. 2250 - 2256, 2017.
[citation][year=2017]Ma, M., Lin, W., Zhang, J., Wang, P., Zhou, Y. and Liang, X. ."Toward Energy-Awareness Smart Building: Discover the Fingerprint of Your Electrical Appliances", IEEE Transactions on Industrial Informatics, Volume: 14, Issue: 4, pp: 1458 - 1468, 2018. DOI: 10.1109/TII.2017.2776300
[citation][year=2016]Juan Diego Silva Guedes; Danton Diego Ferreira; Bruno Henrique Groenner Barbosa; Carlos Augusto Duque; Augusto Santiago Cerqueira. Non-Intrusive Appliance Load Identification Based on Higher-Order Statistics.
IEEE Latin America Transactions 10/2015; 13(10):3343-3349. DOI:10.1109/TLA.2015.7387241
[citation][year=2016]Richthammer, H., Reif, S.  "Intrusion detection in the smart grid based on an analogue technique", LNCS 9591, pp. 56-67.
[citation][year=2016]Borin, V.P., Barriquello, C.H., Da Silva Martins, M.L., Campos, A., "A novel approach for home appliances identification using Vector Projection Length and Stockwell Transform ",  IEEE 13th Brazilian Power Electronics Conference and 1st Southern Power Electronics Conference, COBEP/SPEC 2016 7420171
[citation][year=2016]JDS Guedes, DD Ferreira, BHG Barbosa. "A non-intrusive approach to classify electrical appliances based on higher-order statistics and genetic algorithm: a smart grid perspective", Electric Power Systems Research (Available online 15 July 2016)
[citation][year=2016]Esa, Nur Farahin, Md Pauzi Abdullah, and Mohammad Yusri Hassan. "A review disaggregation method in Non-intrusive Appliance Load Monitoring." Renewable and Sustainable Energy Reviews 66 (2016): 163-173.
[citation][year=2016]Koutitas, George C., and Leandros Tassiulas. "Low cost disaggregation of smart meter sensor data." IEEE Sensors Journal 16.6 (2016): 1665-1673.
[citation][year=2016]Shaloudegi, Kiarash, et al. "SDP Relaxation with Randomized Rounding for Energy Disaggregation." Advances in Neural Information Processing Systems. 2016.
[citation][year=2016]Kozlovskiy, Ilya; Sodenkamp, Mariya; Hopf, Konstantin; and Staake, Thorsten, "ENERGY INFORMATICS FOR
ENVIRONMENTAL, ECONOMIC AND SOCIETAL SUSTAINABILITY: A CASE OF THE LARGE-SCALE DETECTION OF
HOUSEHOLDS WITH OLD HEATING SYSTEMS" (2016). Research Papers. Paper 37. "AIS Electronic Library (AISeL)." ENERGY (2016)
[citation][year=2016]Barido, Diego Ponce de Leon, et al. "Enabling Micro-level Demand-Side Grid Flexiblity in Resource Constrained Environments." arXiv preprint arXiv:1604.08622 (2016).
[citation][year=2016]Yang, Jiajia, et al. "Mining the big data of residential appliances in the smart grid environment." Power and Energy Society General Meeting (PESGM), 2016. IEEE, 2016.
[citation][year=2016]Li, Ding, and Scott Dick. "Whole-house Non-Intrusive Appliance Load Monitoring via multi-label classification." Neural Networks (IJCNN), 2016 International Joint Conference on. IEEE, 2016.
[citation][year=2016]Ferrández-Pastor, F. J., et al. "Interpreting human activity from electrical consumption data using reconfigurable hardware and hidden Markov models." Journal of Ambient Intelligence and Humanized Computing: 1-15.
[citation][year=2016]Hoyo-Montaýo, Josý Antonio, et al. "Overview of Non-Intrusive Load Monitoring: A way to energy wise consumption." Power Electronics (CIEP), 2016 13th International Conference on. IEEE, 2016.
[citation][year=2016]I. Vassileva, J. Campillo. Consumers' Perspective on Full-Scale Adoption of Smart Meters: A Case Study in Västerås, Sweden. Resources 2016, 5(1), 3; doi:10.3390/resources5010003
[citation][year=2015]H.Ahmadi, J.Marti. Load Decomposition at Smart Meters Level Using Eigenloads Approach. IEEE TRANSACTIONS ON POWER SYSTEMS Volume:PP ,  Issue: 99 (accepted for publication; DOI: 10.1109/TPWRS.2014.2388193)
[citation][year=2015]M.Singh, S. Kumar, S. Semwal,, R. S. Prasad. "Residential Load Signature Analysis for Their Segregation Using Wavelet—SVM".  Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering, Vol. 326, pp 863-871 (2015) (on-line since 20 Nov 2014)
[citation][year=2015]Rafsanjani, Hamed Nabizadeh; Ahn, Changbum R.; Alahmad, Mahmoud. A Review of Approaches for Sensing, Understanding, and Improving Occupancy-Related Energy-Use Behaviors in Commercial Buildings,  Energies, Volume: 8   Issue: 10   Pages: 10996-11029  OCT 2015
[citation][year=2015]Makonin, Stephen; Popowich, Fred. Nonintrusive load monitoring (NILM) performance evaluation
ENERGY EFFICIENCY   Volume: 8   Issue: 4   Pages: 809-814  JUL 2015
[citation][year=2015]Bonfigli, R., Squartini, S., Fagiani, M., Piazza, F.  Unsupervised algorithms for non-intrusive load monitoring: An up-to-date overview  Proc. 2015 IEEE 15th International Conference on Environment and Electrical Engineering, EEEIC 2015 pp. 1175-1180
[citation][year=2015]MAITRE, J.; GLON, G.; GABOURY, S.; BOUCHARD, B.; BOUZOUANE, A.. Efficient Appliances Recognition in Smart Homes Based on Active and Reactive Power, Fast Fourier Transform and Decision Trees. AAAI Workshops, North America, apr. 2015.
[citation][year=2015]S Lee, B Song, Y Kwon, J Kim. Non-intrusive Load Monitoring for Home Energy Usage with Multiple Power States Recognition. Advanced Science and Technology Letters, Vol.111 (COMCOMS 2015), pp.282-289 http://dx.doi.org/10.14257/astl.2015.111.54.
[citation][year=2015]Xu, Y., Milanovi?, J.V. Artificial-intelligence-based methodology for load disaggregation at bulk supply point. IEEE Transactions on Power Systems, 30(2): 795 - 803, 2015.
[citation][year=2014]M. D. Gillman. "Interpreting human activity from electrical consumption data through non-intrusive load monitoring." PhD diss., Massachusetts Institute of Technology, USA (2014)
[citation][year=2014]Yizheng Xu, and J. V. Milanovic. "Estimation of Percentage of Controllable Load in Total Demand at Bulk Supply Point". Proc. Mediterranean Conference on Power Generation, Transmission Distribution and Energy Conversion (MEDPOWER), Greece (2014)
[citation][year=2014]Sunil Semwal, R S Prasad, Pradeep Juneja."Identifying Appliances using NIALM with Minimum Features". International Journal of Electrical and Computer Engineering (IJECE), Vol. 4, No. 6, pp. 909-922, (2014)
[citation][year=2014]N.Iksan, N.; S.H. Supangkat."Adaptive non-intrusive Load Monitoring model using Bayesian learning".  Proc. , 2014 International Conference on ICT For Smart Society (ICISS), pp.232 - 235, 2014.
[citation][year=2014]Marinel Temneanu. "Appliance Characterization Based on Spectral Components Analysis". IEEE Proc. 2014 International Conference and Exposition on Electrical and Power Engineering (EPE 2014), pp. 16-18, Romania (2014)
[citation][year=2014]Xu, Yizheng, and J. V. Milanovic. "Accuracy of ANN Based Methodology for Load Composition Forecasting at Bulk Supply Buses". IEEE Proc. International Conference on Probabilistic Methods Applied to Power Systems (PMAPS), pp. 1-6 (2014)
[citation][year=2014]F-J Ferrández-Pastor, J_M García-Chamizo, M. Nieto-Hidalgo, V. Romacho-Agud, F. Flórez-Revuelta. "Using Wavelet Transform to Disaggregate Electrical Power Consumption into the Major End-Uses".  Ubiquitous Computing and Ambient Intelligence. Personalisation and User Adapted Services Lecture Notes in Computer Science, Vol. 8867, pp 272-279 (2014)
[citation][year=2014]Xu, Yizheng, and J. V. Milanovic. "Artificial-Intelligence-Based Methodology for Load Disaggregation at Bulk Supply Point."  IEEE Transactions on  Power Systems, pp( 99):1-9 (2014).
[citation][year=2014]S.Makonin, F.Popowich, "Nonintrusive load monitoring (NILM) performance evaluation", Energy Efficiency, (on-line since:  31 Oct 2014).
[citation][year=2014]M. Singh, S.Kumar, S. Semwal, R. S. Prasad, "Residential Load Signature Analysis for Their Segregation Using Wavelet—SVM", Power Electronics and Renewable Energy Systems, Lecture Notes in Electrical Engineering Volume 326, 2015, pp 863-871, (on-line since 20 Nov 2014)
[citation][year=2014]Piotr BILSKI, Krzysztof LISZEWSKI, Wieslaw WINIECKI, "Review and prospects of artificial intelligence applications in non-invasive identification of its electricity", Politechnika Warszawska, Instytut Radioelektroniki, ISSN 0033-2097, R. 90 NR 11/2014 , doi:10.12915/pe.2014.11.03
[citation][year=2014]Ridi, A.; Gisler, C.; Hennebert, J., "Appliance and state recognition using Hidden Markov Models," Data Science and Advanced Analytics (DSAA), 2014 International Conference on, pp.270-276. 2014.
[citation][year=2014]Gillman, M.D. and Donnal, J.S. and Paris, J. and Leeb, S.B. and El Sayed, M.A.H. and Wertz, K. and Schertz, S., "Energy Accountability Using Nonintrusive Load Monitoring", Sensors Journal, IEEE, 14(6):1923-1931, 2014, doi=10.1109/JSEN.2014.2305911
[citation][year=2014]Lanzisera, S. and Weber, A.R. and Liao, A. and Pajak, D. and Meier, A.K., "Communicating Power Supplies: Bringing the Internet to the Ubiquitous Energy Gateways of Electronic Devices", Internet of Things Journal, IEEE, 1(2):153-160, 2014, doi=10.1109/JIOT.2014.2307077
[citation][year=2014]Ducange, P. and Marcelloni, F. and Antonelli, M., "A Novel Approach Based on Finite-State Machines with Fuzzy Transitions for Nonintrusive Home Appliance Monitoring", IEEE Transactions on Industrial Informatics, 10(2):1185-1197, 2014, doi=10.1109/TII.2014.2304781
[citation][year=2014]Seyed Mostafa Tabatabaei, "Decomposition Techniques for Non-intrusive Home Appliance Load Monitoring",
Master Thesis in, Energy Systems-Electrical and Computer Engineering,
Spring 2014, University of Alberta, Canada.
[citation][year=2014]Bilski, P., Liszewski, K., Winiecki, W. Przegl?d i perspektywy zastosowa? sztucznej inteligencji w nieinwazyjnej identyfikacji odbiorników energii elektrycznej. Przegl?d Elektrotechniczny, 90(11):11-15, 2014 (in Polish)
[citation][year=2013]On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation
M Figueiredo, B Ribeiro, AM de Almeida - Adaptive and Natural …, 2013 - Springer
[citation][year=2013]Sungnam Lee and Mengliev, S. and Yohan Chon and Rhan Ha and Hojung Cha, "Autonomous Construction of a Mountain Terrain Map Using Low-Cost Sensors and Group Information", Military Communications Conference, MILCOM 2013 - 2013 IEEE, Nov, 328-333, 2013, doi=0.1109/MILCOM.2013.64
[citation][year=2013]Semwal, S.; Joshi, D.; Prasad, R. S.; Raveendhra, D.; "The practicability of ICA in home appliances load profile separation using current signature: A preliminary study," Proc. of Intl. Conf. on Power, Energy and Control (ICPEC), 2013, pp.756-759, 2013

2010(1 publication)
[publication]Ana Maria de Almeida and Figueiredo, M. , "A particular approach for the 3-Dimensional Packing Problem with additional Constraints", Computers and Operations Research,  vol. 37,  pp. 1968-1976, 2010
[citation][year=2017]Li, T.-H.S, Liu, C.-Y., Kuo, P.-H., Fang, N.-C., Li, C.-H., Cheng, C.-W., Hsieh, C.-Y., Wu, L.-F., Liang, J.-J., Chen, C.-Y. A Three-Dimensional Adaptive PSO-Based Packing Algorithm for an IoT-Based Automated e-Fulfillment Packaging System. IEEE ACCESS, Volume 5, pp 9188-9205, 2017
[citation][year=2016]Ran Wang , Trung Thanh Nguyen, Shayan Kavakeb, Zaili Yang, Changhe Li, "Benchmarking Dynamic Three-Dimensional Bin Packing Problems Using Discrete-Event Simulation", Applications of Evolutionary Computation, Lecture Notes in Computer Science, Vol. 9598, pp 266-279, 2016
[citation][year=2016]Zhao, X., Bennell, J.A., Bekta?, T., Dowsland, K., "A comparative review of 3D container loading algorithms",    International Transactions in Operational Research, 23 (1-2), pp. 287-320.
[citation][year=2016]Wang, R., Nguyen, T.T., Kavakeb, S., Yang, Z., Li, C. , "Benchmarking dynamic three-dimensional bin packing problems using discrete-event simulation", LNCS - Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics,
9598, pp. 266-279.
[citation][year=2016]Huang, Y.-H., Hwang, F.J., Lu, H.-C., "An effective placement method for the single container loading problem",  Computers and Industrial Engineering 97, pp. 212-221.
[citation][year=2016]Paquay, Célia, Michael Schyns, and Sabine Limbourg. "A mixed integer programming formulation for the three?dimensional bin packing problem deriving from an air cargo application." International Transactions in Operational Research 23.1-2 (2016): 187-213.
[citation][year=2015]Ahire, Sanjay L.; Malhotra, Manoj K.; Jensen, John B.Carton-mix optimization for Walmart.com distribution centers.  Interfaces 45 (4), pp. 341-357 JUL-AUG 2015
[citation][year=2015]Li, X., Zhang, K. A hybrid differential evolution algorithm for multiple container loading problem with heterogeneous containers 2015  Computers and Industrial Engineering 90, pp. 305-313
[citation][year=2015]Tsai, J.-F., Wang, P.-C., Lin, M.-H. A global optimization approach for solving three-dimensional open dimension rectangular packing problems  2015 Optimization 64 (12), pp. 2601-2618
[citation][year=2014]C. M. Schenekemberg; D. V. Kurpe; C. T. Scarpin. MODELO DE PROGRAMAÇÃO LINEAR INTEIRA PARA O PROBLEMA DE CARREGAMENTO DE MÚLTIPLOS  CONTÊINERES COM RESTRIÇÕES DE CARREGAMENTO COMPLETO DE GRUPO DE ITENS E DE ESTABILIDADE VERTICAL. CNMAI - Congresso Nacional de Matemática Aplicada à Indústria,18-21 novembro 2014, Caldas Novas, G0, Brazil
[citation][year=2014]Zhao, X., Bennell, J. A., Bektas, T., Dowsland, K. "A comparative review of 3D container loading algorithms", International Transactions in Operational Research, Vol. 23, Issue 1-2 (2016), pp. 287–320.
[citation][year=2014]Paquay, C. and Schyns, M. and Limbourg, S., "A mixed integer programming formulation for the three-dimensional bin packing problem deriving from an air cargo application", International Transactions in Operational Research, Vo. 23, Issue 1-2
(2016), pp. 187–213, DOI:10.1111/itor.12111 (Published online: 30 July 2014).
[citation][year=2013]Tlili, T.;  Faiz, S.;  Krichen, S.; "A particle swarm optimization for solving the one dimensional container loading problem," Proc. of Intl. Conf. on Modeling, Simulation and Applied Optimization (ICMSAO), pp.1,4, 2013
[citation][year=2013]Bortfeldt, A.; Wäscher, G.; "Constraints in container loading – A state-of-the-art review", European Journal of Operational Research, Vol. 229, Issue 1, pp 1-20, 2013
[citation][year=2013]Lacomme, P.;  Toussaint, H.;  Duhamel, C. ``A GRASP×ELS for the vehicle routing problem with basic three-dimensional loading constraints'', Engineering Applications of Artificial Intelligence, Available online 24 May 2013,
[citation][year=2013]Ceschia, Sara. Local search algorithms for integrated logistics. AI Communications, 2013, 26.3: 325-326.
[citation][year=2012]Hu, N.-Z.; Li, H.-L.;  Tsai, J.-F.;  ``Solving Packing Problems by a Distributed Global Optimization Algorithm,'' Mathematical Problems in Engineering, vol. 2012, Article ID 931092, 2012.
[citation][year=2012]Wang-sheng, L.;  Hua-yi, Y.;  Mao-qing, L. ``The Heuristic Algorithm of Stacking Layer for the Three-Dimensional Packing of Fixed-Size Cargoes'', Green Communications and Networks, Lecture Notes in Electrical Engineering, 113: 453-460, 2012

Wang-sheng, L.;  Hua-yi, Y.;  Mao-qing, L. ``The Heuristic Algorithm of Stacking Layer for the Three-Dimensional Packing of Fixed-Size Cargoes'', Computer, Informatics, Cybernetics and Applications, Lecture Notes in Electrical Engineering, 107: 605-612, 2012
[citation][year=2012]Sara Ceschia, "Local Search Algorithms for Integrated Logistics", PhD Thesis in Research in Industrial and Information Engineering, Dipartimento di Ingegneria Elettrica, Gestionale e Meccanica, Universita degli Studi di Udine, Italia, 2012
[citation][year=2011]Wu, K.; Liu, L.; Liu, J.; Li, W.;  Xie,  G.; Tong, X.; Lin, Y. ``Researches on Grid Security Authentication Algorithm in Cloud Computing'',  Journal of Networks, Vol 6, No 11 (2011), 1639–1646, 2011.
[citation][year=2011]Duhamel,C.; Lacomme, P.; Toussaint, H.  ”A GRASPxELS for the vehicle routing problem with three-dimensional loading constraints”, Research Report LIMOS / RR-11-01, 2011.
[citation][year=2009]Armentano, V.; de Araújo,O. ; ``Carregamento de contêiner com restrições de múltiplos destinos'',  XLII SBPO, Brasil, 2009.

Conference Articles
2014(2 publications)
[publication]Figueiredo, M. and Ribeiro, B. and Ana Maria de Almeida , "Exploring the Performance of Non-negative Multi-way Factorization for Household Electrical Seasonal Consumption Disaggregation", in IEEE International Joint Conference on Neural Networks (IJCNN) , 2014

[publication]Figueiredo, M. and Ana Maria de Almeida and Ribeiro, B. , "On the Optimization of Appliance Loads Inferred by Probabilistic Models", in NILM Workshop 2014, 2014

2013(2 publications)
[publication]Figueiredo, M. and Ribeiro, B. and Ana Maria de Almeida , "On the regularization parameter selection for sparse code learning in electrical source separation", in Proc. Intl. Conf. on Adaptive and Natural Computing Algorithms,  pp. 277-286, LNCS 7824, 2013
[citation][year=2016]Piga, Dario; Cominola, Andrea; Giuliani, Matteo; Castelletti , Andrea; Rizzoli, Emilio, "Sparse Optimization for Automated Energy End Use Disaggregation", IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY,   Volume 24,   Issue: 3,  Pages: 1044-1051 .
[citation][year=2016]Tang, Guoming; Wu, Kui; Lei, Jingsheng; Tang, Jiuyang , "A simple and robust approach to energy disaggregation in the presence of outliers",  SUSTAINABLE COMPUTING-INFORMATICS & SYSTEMS ,  Volume 9   Pages 8-19.
[citation][year=2016]Tang, Guoming, Kui Wu, and Jingsheng Lei. "A Distributed and Scalable Approach to Semi-Intrusive Load Monitoring." IEEE Transactions on Parallel and Distributed Systems 27.6 (2016): 1553-1565.
[citation][year=2016]Guoming Tanga, Kui Wua, Jingsheng Leib, Jiuyang Tang. A Simple and Robust Approach to Energy Disaggregation in the Presence of Outliers. Sustainable Computing: Informatics and Systems (Available online 16 January 2016). doi:10.1016/j.suscom.2016.01.004
[citation][year=2015]Guoming Tang, Kui Wu, Jingsheng Lei. A Distributed and Scalable Approach to Semi-Intrusive Load Monitoring, IEEE Transactions on Parallel and Distributed Systems 01/2015; 27(6). DOI:10.1109/TPDS.2015.2470238
[citation][year=2015]Oliver Kramer, Thole Klingenberg, Michael Sonnenschein, and Olaf Wilken. "Non-intrusive appliance load monitoring with bagging classifiers", Logic Jnl IGPL (Available online April 2, 2015)(doi:10.1093/jigpal/jzv016)
[citation][year=2015]DARIO PIGA,  ANDREA COMINOLA, MATTEO GIULIANI, ANDREA CASTELLETTI,  ANDREA EMILIO 
RIZZOL. A CONVEX OPTIMIZATION APPROACH FOR AUTOMATED WATER AND ENERGY END USE DISAGGREGATION. E-proceedings of the 36th IAHR World Congress, 2015.
[citation][year=2014]G. Tang, K. Wu, J. Lei, "Semi-Intrusive Load Monitoring for Large-Scale Appliances," International Workshop on Non-Intrusive Load Monitoring (NILM 2014), Austin, TX, USA, Jun. 2014

[publication]Figueiredo, M. and Ribeiro, B. and Ana Maria de Almeida , "Forecasting the Usage of Home Appliances with Denoised Signal Patterns", in 19th edition of the Portuguese Conference on Pattern Recognition., 2013

2012(2 publications)
[publication]Figueiredo, M. and Ana Maria de Almeida and Ribeiro, B. , "Another perspective on NILM systems for informed energy consumer behavior", in International Workshop on Energy Efficiency for a More Sustainable World, September, 2012, 2012

[publication]Ana Maria de Almeida and Figueiredo, M. and Ribeiro, B. , "Non Intrusive Load Monitoring Revisited", in PCEEE Portugal em Conferencia para uma Europa Energeticamente Inteligente, Portugal, Junho 2012, 2012
[citation][year=2015]Martina Z. Huber, Lorenz M. Hilty. "Gamification and Sustainable Consumption: Overcoming the Limitations of Persuasive Technologies". ICT Innovations for Sustainability-Advances in Intelligent Systems and Computing,  Lorenz M. Hilty and Bernard Aebischer Eds., Vol. 310, pp 367-385, Springer International Publishing (2015)

2011(5 publications)
[publication]Figueiredo, M. and Ana Maria de Almeida and Ribeiro, B. , "An Experimental Study on Electrical Signature Identification of non-intrusive load monitoring (NILM) systems", in Proc Intl Conf on Adaptive and Natural Computing Algorithms, pp 31-40, Part II, LNCS 6594, 2011
[citation][year=2018]Wang, Huijuan and Yang, Wenrong. "An Iterative Load Disaggregation Approach Based on Appliance Consumption Pattern", Applied Sciences, 8(4), 542, 2018
[citation][year=2018]de Paiva Penha, D., Castro, A.R.G., HOME APPLIANCE IDENTIFICATION FOR NILM SYSTEMS BASED ON DEEP NEURAL NETWORKS, International Journal of Artificial Intelligence and Applications (IJAIA), Vol.9, No.2, 2018.
[citation][year=2017]N. Sadeghianpourhamami, , J. Ruyssinck , D. Deschrijver , T. Dhaene , C. Develder. "Comprehensive Feature Selection for Appliance Classification in NILM", Energy and Buildings, 10.1016/j.enbuild.2017.06.042 (In Press- Available online 23 June 2017)
[citation][year=2017]Maher Azazaa, Fredrik Wallin."Evaluation of classification methodologies and Features selection from smart meter data", Energy Procedia, Volume 142,Pages 2250–2256. 2017.[DOI:10.1016/j.egypro.2017.12.626]
[citation][year=2017]Yang, C. C., Soh, C. S., Yap, V. V. A systematic approach in appliance disaggregation using k-nearest neighbours and naive Bayes classifiers for energy efficiency. Energy Efficiency, (Online: 21 August 2017; doi: 10.1007/s12053-017-9561-0)
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2010(2 publications)
[publication]Figueiredo, M. and Ana Maria de Almeida and Ribeiro, B. and Martins, A. , "Extracting features from an electrical signal of a non-intrusive load monitoring system", in Proc Int Conf on Intelligent Data Engineering and Automated Learning, pp 210-217, LNCS 6283, 2010
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ARPN Journal of Engineering and Applied Sciences, Volume 11, Issue 7, April 2016, pp. 4609-4618
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[publication]Ana Maria de Almeida and Figueiredo, M. , "On the three-dimensional bin packing using rotations", in EngOpt - International Conference on Engineering Optimization, Electronic Notes in Discrete Mathematics, 36:9-15, 2010, 2010

PhD Theses
2014(1 publication)
[publication]Figueiredo, M. , "Household Consumption: Energy Tracking and Behavior Modeling", 2014

2013(1 publication)
[publication]Figueiredo, M. , "Contributions to Electrical Energy Disaggregation in a Smart Home", 2013

MSc Theses
2008(1 publication)
[publication]Figueiredo, M. , "Uma Concretização do Problema de Colocação Tridimensional", 2008