{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,27]],"date-time":"2026-09-27T06:20:50Z","timestamp":1790490050606,"version":"4.1.0"},"reference-count":65,"publisher":"MDPI AG","issue":"3","license":[{"start":{"date-parts":[[2018,3,15]],"date-time":"2018-03-15T00:00:00Z","timestamp":1521072000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>At present, the domotization of homes and public buildings is becoming increasingly popular. Domotization is most commonly applied to the field of energy management, since it gives the possibility of managing the consumption of the devices connected to the electric network, the way in which the users interact with these devices, as well as other external factors that influence consumption. In buildings, Heating, Ventilation and Air Conditioning (HVAC) systems have the highest consumption rates. The systems proposed so far have not succeeded in optimizing the energy consumption associated with a HVAC system because they do not monitor all the variables involved in electricity consumption. For this reason, this article presents an agent approach that benefits from the advantages provided by a Multi-Agent architecture (MAS) deployed in a Cloud environment with a wireless sensor network (WSN) in order to achieve energy savings. The agents of the MAS learn social behavior thanks to the collection of data and the use of an artificial neural network (ANN). The proposed system has been assessed in an office building achieving an average energy savings of 41% in the experimental group offices.<\/jats:p>","DOI":"10.3390\/s18030865","type":"journal-article","created":{"date-parts":[[2018,3,15]],"date-time":"2018-03-15T05:11:28Z","timestamp":1521090688000},"page":"865","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":120,"title":["Energy Optimization Using a Case-Based Reasoning Strategy"],"prefix":"10.3390","volume":"18","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3444-4393","authenticated-orcid":false,"given":"Alfonso","family":"Gonz\u00e1lez-Briones","sequence":"first","affiliation":[{"name":"BISITE Digital Innovation Hub, University of Salamanca, Edificio I+D+I, 37007 Salamanca, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8175-2201","authenticated-orcid":false,"given":"Javier","family":"Prieto","sequence":"additional","affiliation":[{"name":"BISITE Digital Innovation Hub, University of Salamanca, Edificio I+D+I, 37007 Salamanca, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8239-5020","authenticated-orcid":false,"given":"Fernando","family":"De La Prieta","sequence":"additional","affiliation":[{"name":"BISITE Digital Innovation Hub, University of Salamanca, Edificio I+D+I, 37007 Salamanca, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Enrique","family":"Herrera-Viedma","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Artificial Intelligence, University of Granada, 18071 Granada, Spain"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2829-1829","authenticated-orcid":false,"given":"Juan","family":"Corchado","sequence":"additional","affiliation":[{"name":"BISITE Digital Innovation Hub, University of Salamanca, Edificio I+D+I, 37007 Salamanca, Spain"},{"name":"Department of Electronics, Information and Communication, Faculty of Engineering, Osaka Institute of Technology, Osaka 535-8585, Japan"},{"name":"Pusat Komputeran dan Informatik, Universiti Malaysia Kelantan, Karung Berkunci 36, Pengkaan Chepa, Kota Bharu 16100, Kelantan, Malaysia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2018,3,15]]},"reference":[{"key":"ref_1","unstructured":"(2017, November 10). 2030 Climate and Energy Policy Framework\u2014European Commission. Available online: http:\/\/www.consilium.europa.eu\/uedocs\/cms_data\/docs\/pressdata\/en\/ec\/145397.pdf."},{"key":"ref_2","unstructured":"(2017, November 20). 2030 Climate & Energy Framework\u2014Climate Action\u2014European Commission. Available online: https:\/\/ec.europa.eu\/clima\/policies\/strategies\/2030_en."},{"key":"ref_3","unstructured":"(2017, November 29). Energy Efficiency Directive\u2014Energy\u2014European Commission. Available online: http:\/\/ec.europa.eu\/energy\/en\/topics\/energy-efficiency\/energy-efficiency-directive."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"322","DOI":"10.1109\/TIA.2012.2229682","article-title":"An energy management system for building structures using a multi-agent decision-making control methodology","volume":"49","author":"Zhao","year":"2013","journal-title":"IEEE Trans. Ind. Appl."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"79","DOI":"10.1007\/s12053-008-9009-7","article-title":"Feedback on household electricity consumption: A tool for saving energy?","volume":"1","author":"Fischer","year":"2008","journal-title":"Energy Effic."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"992","DOI":"10.1093\/jleo\/ews020","article-title":"Evidence from two large field experiments that peer comparison feedback can reduce residential energy usage","volume":"29","author":"Ayres","year":"2012","journal-title":"J. Law Econ. Organ."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Suciu, G., Pasat, A., Coanca, R., and Secu, S. (2017, January 1\u20132). The adoption of photovoltaic solutions for increasing energy efficiency within SMEs. Proceedings of the 14th International Conference on Engineering of Modern Electric Systems (EMES), Oradea, Romania.","DOI":"10.1109\/EMES.2017.7980423"},{"key":"ref_8","unstructured":"(2017, November 10). Claves Para Ahorrar En La Factura Energ\u00e9tica De La Comunidad De Vecinos. Available online: http:\/\/www.elmundo.es\/promociones\/native\/2017\/01\/09\/."},{"key":"ref_9","unstructured":"(2017). Energy Efficiency\u2014The First Fuel for the EU Economy, Energy Efficiency Financial Institutions Group. [1st ed.]. Available online: http:\/\/bpie.eu\/wp-content\/uploads\/2015\/10\/EFFIG-Financial-Interim-report.pdf."},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"682","DOI":"10.1016\/j.apenergy.2016.02.032","article-title":"An optimization model for selecting the optimal green systems by considering the thermal comfort and energy consumption","volume":"169","author":"Kim","year":"2016","journal-title":"Appl. Energy"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1585","DOI":"10.1109\/TSP.2012.2183126","article-title":"Adaptive data fusion for wireless localization in harsh environments","volume":"60","author":"Prieto","year":"2012","journal-title":"IEEE Trans. Signal Process."},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Minor, M., and Marx, L. (2017, January 26\u201328). Case-Based Reasoning for Inert Systems in Building Energy Management. Proceedings of the International Conference on Case-Based Reasoning, Trondheim, Norway.","DOI":"10.1007\/978-3-319-61030-6_14"},{"key":"ref_13","doi-asserted-by":"crossref","unstructured":"Shein, W.W., Tan, Y., and Lim, A.O. (2012, January 26\u201328). PID controller for temperature control with multiple actuators in cyber-physical home system. Proceedings of the 15th International Conference on Network-Based Information Systems (NBiS), Melbourne, Australia.","DOI":"10.1109\/NBiS.2012.118"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1109\/37.165518","article-title":"A neural network controller for a temperature control system","volume":"12","author":"Khalid","year":"1992","journal-title":"IEEE Control Syst."},{"key":"ref_15","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1016\/j.buildenv.2013.10.020","article-title":"Coupling a neural network temperature predictor and a fuzzy logic controller to perform thermal comfort regulation in an office building","volume":"72","author":"Marvuglia","year":"2014","journal-title":"Build. Environ."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Gao, G., and Whitehouse, K. (2009, January 3). The self-programming thermostat: Optimizing setback schedules based on home occupancy patterns. Proceedings of the First ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Buildings, Berkeley, CA, USA.","DOI":"10.1145\/1810279.1810294"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"382","DOI":"10.1016\/j.dss.2007.04.008","article-title":"Intelligent environment for monitoring Alzheimer patients, agent technology for health care","volume":"44","author":"Corchado","year":"2008","journal-title":"Decis. Support Syst."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"234","DOI":"10.1109\/TITB.2009.2034369","article-title":"Using heterogeneous wireless sensor networks in a telemonitoring system for healthcare","volume":"14","author":"Corchado","year":"2010","journal-title":"IEEE Trans. Inf. Technol. Biomed."},{"key":"ref_19","unstructured":"Mozer, M.C. (1998, January 23\u201325). The neural network house: An environment hat adapts to its inhabitants. Proceedings of the AAAI Spring Symposium on Intelligent Environments, Palo Alto, CA, USA."},{"key":"ref_20","unstructured":"Herkel, S., Knapp, U., and Pfafferott, J. (2005, January 15\u201318). A preliminary model of user behaviour regarding the manual control of windows in office buildings. Proceedings of the 9th International Building Performance Simulation Association Building Simulation Conference, Montr\u00e9al, QC, Canada."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"295","DOI":"10.1016\/j.enbuild.2008.09.008","article-title":"User behavior in whole building simulation","volume":"41","author":"Hoes","year":"2009","journal-title":"Energy Build."},{"key":"ref_22","unstructured":"Harris, C., and Cahill, V. (2005, January 22\u201324). Exploiting user behaviour for context-aware power management. Proceedings of the IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob\u2019 2005), Montr\u00e9al, QC, Canada."},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"343","DOI":"10.1016\/j.buildenv.2013.11.016","article-title":"Theory and applications of HVAC control systems\u2014A review of model predictive control (MPC)","volume":"72","author":"Afram","year":"2014","journal-title":"Build. Environ."},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"1033","DOI":"10.1016\/j.enbuild.2005.12.001","article-title":"Building occupancy detection through sensor belief networks","volume":"38","author":"Dodier","year":"2006","journal-title":"Energy Build."},{"key":"ref_25","doi-asserted-by":"crossref","first-page":"359","DOI":"10.1080\/19401493.2011.577810","article-title":"Building energy and comfort management through occupant behaviour pattern detection based on a large-scale environmental sensor network","volume":"4","author":"Dong","year":"2011","journal-title":"J. Build. Perform. Simul."},{"key":"ref_26","unstructured":"Hailemariam, E., Goldstein, R., Attar, R., and Khan, A. (2011, January 3\u20137). Real-time occupancy detection using decision trees with multiple sensor types. Proceedings of the 2011 Symposium on Simulation for Architecture and Urban Design, Boston, MA, USA."},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"1560","DOI":"10.1016\/j.enbuild.2008.02.006","article-title":"A high-resolution domestic building occupancy model for energy demand simulations","volume":"40","author":"Richardson","year":"2008","journal-title":"Energy Build."},{"key":"ref_28","doi-asserted-by":"crossref","first-page":"814","DOI":"10.1016\/j.enbuild.2006.03.002","article-title":"Adding advanced behavioural models in whole building energy simulation: A study on the total energy impact of manual and automated lighting control","volume":"38","author":"Bourgeois","year":"2006","journal-title":"Energy Build."},{"key":"ref_29","doi-asserted-by":"crossref","unstructured":"Goldstein, R., Tessier, A., and Khan, A. (2010, January 11\u201315). Schedule-calibrated occupant behavior simulation. Proceedings of the 2010 Spring Simulation Multiconference, Orlando, FL, USA.","DOI":"10.1145\/1878537.1878725"},{"key":"ref_30","first-page":"252","article-title":"Customizing the behavior of interacting occupants using personas","volume":"4","author":"Goldstein","year":"2010","journal-title":"IBPSA-USA J."},{"key":"ref_31","doi-asserted-by":"crossref","first-page":"1227","DOI":"10.1002\/int.10138","article-title":"Constructing deliberative agents with case-based reasoning technology","volume":"18","author":"Corchado","year":"2003","journal-title":"Int. J. Intell. Syst."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"39","DOI":"10.3233\/AIC-1994-7104","article-title":"Case-based reasoning: Foundational issues, methodological variations, and system approaches","volume":"7","author":"Aamodt","year":"1994","journal-title":"AI Commun."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1016\/S0950-7051(99)00015-5","article-title":"Using statistical models and case-based reasoning in claims prediction: Experience from a real-world problem","volume":"12","author":"Daengdej","year":"1999","journal-title":"Knowl. Based Syst."},{"key":"ref_34","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1016\/j.enbuild.2017.09.020","article-title":"Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management","volume":"155","author":"Faia","year":"2017","journal-title":"Energy Build."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"253","DOI":"10.1016\/j.apenergy.2012.02.052","article-title":"A decision support model for reducing electric energy consumption in elementary school facilities","volume":"95","author":"Hong","year":"2012","journal-title":"Appl. Energy"},{"key":"ref_36","doi-asserted-by":"crossref","first-page":"152","DOI":"10.1016\/j.enbuild.2014.06.017","article-title":"Development of an energy prediction tool for commercial buildings using case-based reasoning","volume":"81","author":"Monfet","year":"2014","journal-title":"Energy Build."},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"183","DOI":"10.1016\/j.enbuild.2014.04.022","article-title":"BACnet\u2013EnOcean Smart Grid Gateway and its application to demand response in buildings","volume":"78","author":"Li","year":"2014","journal-title":"Energy Build."},{"key":"ref_38","first-page":"36","article-title":"Integrating building automation and control products using the BACnet protocol","volume":"38","author":"Newman","year":"1996","journal-title":"ASHRAE J."},{"key":"ref_39","first-page":"52","article-title":"Study of Building Automation and Control Network Protocol BACnet Implementation Model","volume":"5","author":"Dong","year":"2003","journal-title":"Comput. Eng. Appl."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1515\/jib-2015-278","article-title":"Multi-agent System for Obtaining Relevant Genes in Expression Analysis between Young and Older Women with Triple Negative Breast Cancer","volume":"12","author":"Ramos","year":"2015","journal-title":"J. Integr. Bioinform."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12539-017-0219-6","article-title":"An Agent-Based Clustering Approach for Gene Selection in Gene Expression Microarray","volume":"9","author":"Ramos","year":"2017","journal-title":"Interdiscip. Sci. Comput. Life Sci."},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Gonz\u00e1lez-Briones, A., Villarrubia, G., De Paz, J.F., and Corchado, J.M. (2018). A multi-agent system for the classification of gender and age from images. Comput. Vis. Image Underst., in press.","DOI":"10.1016\/j.cviu.2018.01.012"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"43","DOI":"10.1016\/j.inffus.2014.03.003","article-title":"Multi-agent information fusion system to manage data from a WSN in a residential home","volume":"23","author":"Villarrubia","year":"2015","journal-title":"Inf. Fusion"},{"key":"ref_44","doi-asserted-by":"crossref","first-page":"55","DOI":"10.1109\/TSMCA.2004.838488","article-title":"A fuzzy embedded agent-based approach for realizing ambient intelligence in intelligent inhabited environments","volume":"35","author":"Doctor","year":"2005","journal-title":"IEEE Trans. Syst. Man Cybern. Part A Syst. Hum."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"1743","DOI":"10.1109\/TPWRS.2007.908471","article-title":"Multi-agent systems for power engineering applications\u2014Part I: Concepts, approaches, and technical challenges","volume":"22","author":"McArthur","year":"2007","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_46","doi-asserted-by":"crossref","first-page":"1753","DOI":"10.1109\/TPWRS.2007.908472","article-title":"Multi-agent systems for power engineering applications\u2014Part II: Technologies, standards, and tools for building multi-agent systems","volume":"22","author":"McArthur","year":"2007","journal-title":"IEEE Trans. Power Syst."},{"key":"ref_47","doi-asserted-by":"crossref","unstructured":"Qiao, B., Liu, K., and Guy, C. (2006, January 18\u201322). A multi-agent system for building control. Proceedings of the IEEE\/WIC\/ACM International Conference on Intelligent Agent Technology (IAT\u2019 06), Hong Kong, China.","DOI":"10.1109\/IAT.2006.17"},{"key":"ref_48","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1109\/MCOM.2013.6400446","article-title":"A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants","volume":"51","author":"Baladron","year":"2013","journal-title":"IEEE Commun. Mag."},{"key":"ref_49","doi-asserted-by":"crossref","unstructured":"Garc\u00eda, \u00d3., Prieto, J., Alonso, R.S., and Corchado, J.M. (2017). A Framework to Improve Energy Efficient Behaviour at Home through Activity and Context Monitoring. Sensors, 17.","DOI":"10.3390\/s17081749"},{"key":"ref_50","doi-asserted-by":"crossref","unstructured":"Garc\u00eda, \u00d3., Alonso, R.S., Prieto, J., and Corchado, J.M. (2017). Energy Efficiency in Public Buildings through Context-Aware Social Computing. Sensors, 17.","DOI":"10.3390\/s17040826"},{"key":"ref_51","doi-asserted-by":"crossref","unstructured":"Wang, Z., Yang, R., and Wang, L. (2010, January 7\u201310). Multi-agent control system with intelligent optimization for smart and energy-efficient buildings. Proceedings of the IECON 2010 36th Annual Conference on IEEE Industrial Electronics Society, Glendale, AZ, USA.","DOI":"10.1109\/IECON.2010.5675530"},{"key":"ref_52","doi-asserted-by":"crossref","unstructured":"Cai, J., Kim, D., Putta, V.K., Braun, J.E., and Hu, J. (2015, January 1\u20133). Multi-agent control for centralized air conditioning systems serving multi-zone buildings. Proceedings of the American Control Conference (ACC), Boston, MA, USA.","DOI":"10.1109\/ACC.2015.7170862"},{"key":"ref_53","doi-asserted-by":"crossref","first-page":"958","DOI":"10.1016\/j.jcss.2014.12.010","article-title":"Multi-agent system for energy consumption optimisation in higher education institutions","volume":"81","author":"Shah","year":"2015","journal-title":"J. Comput. Syst. Sci."},{"key":"ref_54","doi-asserted-by":"crossref","first-page":"135","DOI":"10.1016\/S0926-5805(00)00093-5","article-title":"Towards a multi-agent model for visualizing simulated user behavior to support the assessment of design performance","volume":"11","author":"Dijkstra","year":"2002","journal-title":"Autom. Constr."},{"key":"ref_55","doi-asserted-by":"crossref","unstructured":"Dijkstra, J., Timmermans, H.J., and Jessurun, A.J. (2001). A multi-agent cellular automata system for visualising simulated pedestrian activity. Theory and Practical Issues on Cellular Automata, Springer.","DOI":"10.1007\/978-1-4471-0709-5_4"},{"key":"ref_56","doi-asserted-by":"crossref","first-page":"379","DOI":"10.1007\/s10115-010-0349-1","article-title":"An abstract architecture for virtual organizations: The THOMAS approach","volume":"29","author":"Argente","year":"2011","journal-title":"Knowl. Inf. Syst."},{"key":"ref_57","doi-asserted-by":"crossref","first-page":"285","DOI":"10.1023\/A:1010071910869","article-title":"The Gaia methodology for agent-oriented analysis and design","volume":"3","author":"Wooldridge","year":"2000","journal-title":"Auton. Agents Multi-Agent Syst."},{"key":"ref_58","doi-asserted-by":"crossref","unstructured":"Fernbach, A., Granzer, W., and Kastner, W. (2011, January 5\u20139). Interoperability at the management level of building automation systems: A case study for BACnet and OPC UA. Proceedings of the 2011 IEEE 16th Conference on September Emerging Technologies & Factory Automation (ETFA), Toulouse, France.","DOI":"10.1109\/ETFA.2011.6059106"},{"key":"ref_59","unstructured":"Park, S.C., Lee, W.S., Kim, S.H., Hong, S.H., and Palensky, P. (2010, January 13\u201316). Implementation of a BACnet-ZigBee gateway. Proceedings of the 2010 8th IEEE International Conference on Industrial Informatics (INDIN), Osaka, Japan."},{"key":"ref_60","doi-asserted-by":"crossref","unstructured":"Osterlind, F., Pramsten, E., Roberthson, D., Eriksson, J., Finne, N., and Voigt, T. (2007, January 25\u201328). Integrating building automation systems and wireless sensor networks. Proceedings of the IEEE Conference on Emerging Technologies and Factory Automation, Patras, Greece.","DOI":"10.1109\/EFTA.2007.4416941"},{"key":"ref_61","doi-asserted-by":"crossref","first-page":"583","DOI":"10.1080\/01621459.1952.10483441","article-title":"Use of ranks in one-criterion variance analysis","volume":"47","author":"Kruskal","year":"1952","journal-title":"J. Am. Stat. Assoc."},{"key":"ref_62","first-page":"187","article-title":"Kolmogorov complexity and its applications","volume":"1","author":"Ming","year":"2014","journal-title":"Algorithms Complex."},{"key":"ref_63","doi-asserted-by":"crossref","unstructured":"Lu, J., Sookoor, T., Srinivasan, V., Gao, G., Holben, B., Stankovic, J., and Whitehouse, K. (2010, January 3\u20135). The smart thermostat: Using occupancy sensors to save energy in homes. Proceedings of the 8th ACM Conference on Embedded Networked Sensor Systems, Zurich, Switzerland.","DOI":"10.1145\/1869983.1870005"},{"key":"ref_64","unstructured":"Organisation, E.V. (2012). International Performance Measurement and Verification Protocol: Concepts and Options for Determining Energy and Water Savings, Efficiency Valuation Organisation."},{"key":"ref_65","doi-asserted-by":"crossref","unstructured":"Guerrisi, A., Martino, M., and Tartaglia, M. (2012, January 11\u201314). Energy saving in social housing: An innovative ICT service to improve the occupant behaviour. Proceedings of the 2012 International Conference on Renewable Energy Research and Applications (ICRERA), Nagasaki, Japan.","DOI":"10.1109\/ICRERA.2012.6477276"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/3\/865\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T14:57:10Z","timestamp":1760194630000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/18\/3\/865"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,3,15]]},"references-count":65,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2018,3]]}},"alternative-id":["s18030865"],"URL":"https:\/\/doi.org\/10.3390\/s18030865","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,3,15]]}}}