Abstract
This work deals with the problem of automatic detection of device types given only the power consumption curve, which can be obtained by means of a cheap measurer applied to the device itself. We defined a novel method to detect these types and we describe it in details, providing ground truth evidence coming from the application of the method to real world data. We tested the method against two different set of data coming from two separate and different environments, the first located in Italy and the second in Germany, and we provide experimental results to support the method.
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Anvari-Moghaddam, A., Monsef, H., Rahimi-Kian, A.: Optimal smart home energy management considering energy saving and a comfortable lifestyle. IEEE Trans. Smart Grid 6(1), 324–332 (2015)
Baliga, J., Ayre, R., Hinton, K., Sorin, W.V., Tucker, R.S.: Energy consumption in optical IP networks. J. Lightwave Technol. 27(13), 2391–2403 (2009)
Baliga, J., Hinton, K., Ayre, R., Tucker, R.S.: Carbon footprint of the internet (2009)
Bicego, M., Farinelli, A., Grosso, E., Paolini, D., Ramchurn, S.D.: On the distinctiveness of the electricity load profile. Pattern Recognit. 74, 317–325 (2018)
Bicego, M., Recchia, F., Farinelli, A., Ramchurn, S.D., Grosso, E.: Behavioural biometrics using electricity load profiles, pp. 1764–1769 (2014)
Breheny, M.: The compact city and transport energy consumption. Trans. Inst. Br. Geogr. 20(1), 81–101 (1995)
Cristani, M., Karafili, E., Tomazzoli, C.: An ambient intelligence technology for energy saving. In: IEA-AIE 2014 Proceedings. Springer (2014)
Cristani, M., Karafili, E., Tomazzoli, C.: Energy saving by ambient intelligence techniques. In: 2014 17th International Conference on Network-Based Information Systems (NBiS), pp. 157–164. IEEE (2014)
Cristani, M., Karafili, E., Tomazzoli, C.: Improving energy saving techniques by ambient intelligence scheduling. In: Proceedings of the 2015 IEEE 29th International Conference on Advanced Information Networking and Applications (AINA 2015), vol. 1, pp. 324–331, Los Alamitos, California, Conference Publishing Services (CPS) – IEEE Computer Society (2015)
Cristani, M., Tomazzoli, C., Olivieri, F., Karafili E.: Defeasible reasoning about electric consumptions. In: Proceedings of the 30th IEEE International Conference on Advanced Information Networking and Applications (AINA-2016), pp. 885–892 (2016)
Fan, X., Weber, W-.D., Barroso, L.A.: Power provisioning for a warehouse-sized computer. In: Proceedings of the 34th Annual International Symposium on Computer Architecture, ISCA 2007, pp. 13–23. ACM, New York (2007)
Governatori, G., Olivieri, F., Rotolo, A., Scannapieco, S., Cristani, M.: Picking up the best goal an analytical study in defeasible logic. LNCS (LNAI and LNBI), vol. 8035, pp. 99–113 (2013)
Governatori, G., Olivieri, F., Scannapieco, S., Cristani, M.: Designing for compliance: norms and goals. LNCS (LNAI and LNBI), vol. 7018, pp. 282–297 (2011)
Governatori, G., Olivieri, F., Scannapieco, S., Rotolo, A., Cristani, M.: The rationale behind the concept of goal. Theor. Pract. Logic Program. 16(3), 296–324 (2016)
The Climate Group: Smart 2020: Enabling the low carbon economy in the information age (2008)
Hopf, K., Sodenkamp, M., Kozlovkiy, I., Staake, T.: Feature extraction and filtering for household classification based on smart electricity meter data. Comput. Sci. Res. Dev. 31(3), 141–148 (2016)
Olivieri, F., Governatori, G., Scannapieco, S., Cristani, M.: Compliant business process design by declarative specifications. LNCS (LNAI and LNBI), vol. 8291, pp. 213–228 (2013)
Prez-Lombard, L., Ortiz, J., Pout, C.: A review on buildings energy consumption information. Energy Build. 40(3), 394–398 (2008)
Santamouris, M., Papanikolaou, N., Livada, I., Koronakis, I., Georgakis, C., Argiriou, A., Assimakopoulos, D.N.: On the impact of urban climate on the energy consumption of buildings. Sol. Energy 70(3), 201–216 (2001). Urban Environment
Scannapieco, S., Tomazzoli, C.: Ubiquitous and pervasive computing for real-time energy management and saving. In: Barolli, L., Enokido, T. (eds.) Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 3–15. Springer International Publishing, Cham (2018)
Tomazzoli, C., Cristani, M., Karafili, E., Olivieri, F.: Non-monotonic reasoning rules for energy efficiency. J. Ambient Intell. Smart Environ. 9, 345–360 (2017)
Tomazzoli, C., Cristani, M., Olivieri, F.: Automatic synthesis of best practices for energy consumptions. In: Proceedings of the Tenth International Conference on Innovative Mobile and Internet Services in Ubiquitous Computing, pp. 1–8. IEEE CPS (2016)
Tucker, R.S., Parthiban, R., Baliga, J., Hinton, K., Ayre, R.W.A., Sorin, W.V.: Evolution of WDM optical IP networks: a cost and energy perspective. J. Lightwave Technol. 27(3), 243–252 (2009)
Valogianni, K., Ketter, W., Collins, J., Zhdanov, D.: Enabling sustainable smart homes: an intelligent agent approach (2014)
Vastamäki, R., Sinkkonen, I., Leinonen, C.: A behavioural model of temperature controller usage and energy saving. Pers. Ubiquitous Comput. 9(4), 250–259 (2005)
Wood, G., Newborough, M.: Dynamic energy-consumption indicators for domestic appliances: environment, behaviour and design. Energy Build. 35(8), 821–841 (2003)
Xu, Z., Jia, Q-.S., Guan, X., Xie, X.: A new method to solve large-scale building energy management for energy saving. In: 2014 IEEE International Conference on Automation Science and Engineering, CASE 2014, New Taipei, Taiwan, 18–22 August 2014, pp. 940–945. IEEE (2014)
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Tomazzoli, C., Cristani, M., Scannapieco, S., Olivieri, F. (2019). Automatic Detection of Device Types by Consumption Curve. In: Jezic, G., Chen-Burger, YH., Howlett, R., Jain, L., Vlacic, L., Šperka, R. (eds) Agents and Multi-Agent Systems: Technologies and Applications 2018. KES-AMSTA-18 2018. Smart Innovation, Systems and Technologies, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-92031-3_16
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