Abstract
Accrediting the fast economic growth and the enhancement of people’s live standards, the overall household’s energy consumption is becoming more and more substantial. Thus, the need of conserving energy is becoming a critical task to help preserve energy resources and slow down climate change, which in turn, protects the environment. The development of an Internet of Things (IoT) system to monitor the consumer’s power consumption behavior and provides energy saving recommendation at a timely manner can be advantageous to shape the user’s energy saving habits. In this paper, we integrate the (EM)\(^3\) framework into a local IoT platform named Home-Assistant to help centralize all the connected sensors. Additionally, two smart plug systems are proposed to be part of the (EM)\(^3\) ecosystem. The plugs are employed to collect appliances energy consumption data as well as having home automation capabilities. Through Home-Assistant User Interface (UI), end-users can visualize their consumption trends together with ambient environmental data. The comparative analysis performed demonstrates great potential and highlights areas of future work focusing on integrating more sensing systems into the developed platform for the sake of enriching the existing database.
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References
Miglani, A., Kumar, N., Chamola, V., Zeadally, S.: Blockchain for internet of energy management: review, solutions, and challenges. Comput. Commun. 151, 395–418 (2020)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: A novel approach for detecting anomalous energy consumption based on micro-moments and deep neural networks. Cogn. Comput. 12(6), 1381–1401 (2020)
Cao, X., Dai, X., Liu, J.: Building energy-consumption status worldwide and the state-of-the-art technologies for zero-energy buildings during the past decade. Energy Build. 128, 198–213 (2016)
Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A., Sardianos, C., Varlamis, I., Dimitrakopoulos, G.: Achieving domestic energy efficiency using micro-moments and intelligent recommendations. IEEE Access 8, 15047–15055 (2020)
Keho, Y.: What drives energy consumption in developing countries? The experience of selected African countries. Energy Policy 91, 233–246 (2016)
Himeur, Y., Alsalemi, A., Al-Kababji, A., Bensaali, F., Amira, A.: Data fusion strategies for energy efficiency in buildings: overview, challenges and novel orientations. Inf. Fusion 64, 99–120 (2020)
Sardianos, C., Varlamis, I., Chronis, C., Dimitrakopoulos, G., Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A.: The emergence of explainability of intelligent systems: Delivering explainable and personalized recommendations for energy efficiency. Int. J. Intell. Syst. 36(2), 656–680 (2021)
Sardianos, C., Varlamis, I., Chronis, C., Dimitrakopoulos, G., Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: A model for predicting room occupancy based on motion sensor data. In: 2020 IEEE International Conference on Informatics, IoT, and Enabling Technologies (ICIoT), IEEE, pp. 394–399 (2020)
Snow, S., Bean, R., Glencross, M., Horrocks, N.: Drivers behind residential electricity demand fluctuations due to covid-19 restrictions. Energies 13(21), 5738 (2020)
Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A.: An innovative edge-based internet of energy solution for promoting energy saving in buildings. Sustain. Cities Soc. 1–20 (2021)
Al-Ali, A.-R., Zualkernan, I.A., Rashid, M., Gupta, R., Alikarar, M.: A smart home energy management system using IoT and big data analytics approach. IEEE Trans. Consum. Electron. 63(4), 426–434 (2017)
Shahzad, Y., Javed, H., Farman, H., Ahmad, J., Jan, B., Zubair, M.: Internet of energy: opportunities, applications, architectures and challenges in smart industries. Comput. Electr. Eng. 86, 106739 (2020)
Sardianos, C., Varlamis, I., Chronis, C., Dimitrakopoulos, G., Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Data analytics, automations, and micro-moment based recommendations for energy efficiency. In: 2020 IEEE Sixth International Conference on Big Data Computing Service and Applications (BigDataService), IEEE, pp. 96–103 (2020)
Kabalci, E., Kabalci, Y.: From Smart Grid to Internet of Energy. Academic Press (2019)
Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A., Sardianos, C., Chronis, C., Varlamis, I., Dimitrakopoulos, G.: A micro-moment system for domestic energy efficiency analysis. IEEE Syst. J. 1–8 (2020)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: An intelligent non-intrusive load monitoring scheme based on 2d phase encoding of power signals. Int. J. Intell. Syst. 36(1), 72–93 (2021)
Zhang, C.-Y., Yu, B., Wang, J.-W., Wei, Y.-M.: Impact factors of household energy-saving behavior: an empirical study of Shandong Province in China. J. Cleaner Prod. 185, 285–298 (2018)
Azizi, Z.M., Azizi, N.S.M., Abidin, N.Z., Mannakkara, S.: Making sense of energy-saving behaviour: a theoretical framework on strategies for behaviour change intervention. Procedia Comput. Sci. 158, 725–734 (2019)
Himeur, Y., Elsalemi, A., Bensaali, F., Amira, A.: Smart power consumption abnormality detection in buildings using micro-moments and improved k-nearest neighbors. Int. J. Intell. Syst. 1–25 (2021)
Elsalemi, A., Himeur, Y., Bensaali, F., Amira, A.: Appliance-level monitoring with micro-moment smart plugs. In: The Fifth International Conference on Smart City Applications (SCA), pp. 1–5 (2020)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Efficient multi-descriptor fusion for non-intrusive appliance recognition. In: IEEE International Symposium on Circuits and Systems (ISCAS). IEEE, vol. 2020, 1–5 (2020)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Improving in-home appliance identification using fuzzy-neighbors-preserving analysis based qr-decomposition. In: International Congress on Information and Communication Technology. Springer, Berlin, pp. 303–311 (2020)
Himeur, Y., Alsalemi, A., F.ensaali, Amira, A., Sardianos, C., Varlamis, I., Dimitrakopoulos, G.: On the applicability of 2d local binary patterns for identifying electrical appliances in non-intrusive load monitoring. In: Proceedings of SAI Intelligent Systems Conference. Springer, Berlin, pp. 188–205 (2020)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Building power consumption datasets: survey, taxonomy and future directions. Energy Build. 227, 110404 (2020)
Al-Kababji, A., Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A., Fernandez, R., Fetais, N.: Energy data visualizations on smartphones for triggering behavioral change: Novel vs. conventional. In : 2nd Global Power, Energy and Communication Conference (GPECOM). IEEE, vol. 2020, pp. 312–317 (2020)
Sardianos, C., Chronis, C., Varlamis, I., Dimitrakopoulos, G., Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Real-time personalised energy saving recommendations. In: The 16th IEEE International Conference on Green Computing and Communications (GreenCom), pp. 1–6 (2020)
Singh, S., Yassine, A.: Big data mining of energy time series for behavioral analytics and energy consumption forecasting. Energies 11(2), 452 (2018)
Bhati, A., Hansen, M., Chan, C.M.: Energy conservation through smart homes in a smart city: a lesson for Singapore households. Energy Policy 104, 230–239 (2017)
Debauche, O., Mahmoudi, S., Moussaoui, Y.: Internet of things learning: a practical case for smart building automation
Chou, C.-C., Chiang, C.-T., Wu, P.-Y., Chu, C.-P., Lin, C.-Y.: Spatiotemporal analysis and visualization of power consumption data integrated with building information models for energy savings. Resour. Conserv. Recycl. 123, 219–229 (2017)
Klemenjak, C., Jost, S., Elmenreich, W., Yomopie: a user-oriented energy monitor to enhance energy efficiency in households. In: 2018 IEEE Conference on Technologies for Sustainability (SusTech), IEEE, pp. 1–7 (2018)
Najem, N., Haddou, D.B., Abid, M.R., Darhmaoui, H., Krami, N., Zytoune, O.: Context-aware wireless sensors for IoT-centeric energy-efficient campuses. In: 2017 IEEE International Conference on Smart Computing (SMARTCOMP), IEEE, pp. 1–6 (2017)
Zandi, H., Kuruganti, T., Fugate, D., Vineyard, E.A.: Volttron-enabled home energy management system, Tech. rep., Oak Ridge National Lab.(ORNL), Oak Ridge, TN (United States) (2019)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Effective non-intrusive load monitoring of buildings based on a novel multi-descriptor fusion with dimensionality reduction. Appl. Energy 279, 115872 (2020)
Himeur, Y., Elsalemi, A., Bensaali, F., Amira, A.: Recent trends of smart non-intrusive load monitoring in buildings: a review, open challenges and future directions. Int. J. Intell. Syst. 1–28 (2020)
Sardianos, C., Chronis, C., Varlamis, I., Dimitrakopoulos, G., Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Smart fusion of sensor data and human feedback for personalised energy-saving recommendations. Int. J. Intell. Syst. 1–20 (2021)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A., Varlamis, I., Bravos, G., Sardianos, C.: Dimitrakopoulos, Techno-economic analysis of building energy efficiency systems based on behavioral change: a case study of a novel micro-moments based solution. Appl. Energy 1–25 (2021)
Himeur, Y., Ghanem, K., Alsalemi, A., Bensaali, F., Amira, A.: Artificial intelligence based anomaly detection of energy consumption in buildings: a review, current trends and new perspectives. Appl. Energy 287, 116601 (2021)
Himeur, Y., Elsalemi, A., Bensaali, F., Amira, A.: The emergence of hybrid edge-cloud computing for energy efficiency in buildings. In: Proceedings of SAI Intelligent Systems Conference, pp. 1–12 (2021)
Al-Kababji, A., Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A., Fernandez, R., Fetais, N.: Interactive visual analytics for residential energy big data. Inf. Vis. 1–20 (2021)
Himeur, Y., Elsalemi, A., Bensaali, F., Amira, A: Appliance identification using a histogram post-processing of 2d local binary patterns for smart grid applications. In: Proceedings of 25th International Conference on Pattern Recognition (ICPR), pp. 1–8 (2020)
Varlamis, I., Sardianos, C., Dimitrakopoulos, G., Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A.: Reshaping consumption habits by exploiting energy-related micro-moment recommendations: a case study. In: Communications in Computer and Information Science, Springer International Publishing, Cham, pp. 1–22 (2020)
Alsalemi, A., Ramadan, M., Bensaali, F., Amira, A., Sardianos, C., Varlamis, I., Dimitrakopoulos, G.: Endorsing domestic energy saving behavior using micro-moment classification. Appl. Energy 250, 1302–1311 (2019). https://doi.org/10.1016/j.apenergy.2019.05.089https://doi.org/10.1016/j.apenergy.2019.05.089
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, A.: Robust event-based non-intrusive appliance recognition using multi-scale wavelet packet tree and ensemble bagging tree. Appl. Energy 267, 114887 (2020)
Sardianos, C., Varlamis, I., Dimitrakopoulos, G., Anagnostopoulos, D., Alsalemi, A., Bensaali, F., Himeur, Y., Amira, A.: Rehab-c: recommendations for energy habits change. Future Gener. Comput. Syst. 112, 394–407 (2020)
Himeur, Y., Alsalemi, A., Bensaali, F., Amira, , A., Sardianos, C., Dimitrakopoulos, G., Varlamis, I.: A survey of recommender systems for energy efficiency in buildings: Principles, challenges and prospects. Inf. Fusion 1–33 (2020)
Alsalemi, A., Al-Kababji, A., Himeur, Y., Bensaali, F., Amira, A.: Cloud energy micro-moment data classification: a platform study. In: 2020 IEEE/ACM 13th International Conference on Utility and Cloud Computing (UCC), IEEE, pp. 420–425 (2020)
Home Assistant. Available online https://www.home-assistant.io/. Accessed 30-12-2020
Alsalemi, A., Ramadan, M., Bensaali, F., Amira, A., Sardianos, C., Varlamis, I., Dimitrakopoulos, G.: Boosting domestic energy efficiency through accurate consumption data collection. In: IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI). IEEE, pp. 1468–1472 (2019)
TRMS three- and single phase digital wattmeters. Available online: http://www.farnell.com/datasheets/3649.pdf. Accessed 30-12-2020
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This paper was made possible by National Priorities Research Program (NPRP) grant No. 10-0130-170288 from the Qatar National Research Fund (a member of Qatar Foundation). The statements made herein are solely the responsibility of the authors.
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Sayed, A., Alsalemi, A., Himeur, Y., Bensaali, F., Amira, A. (2022). Endorsing Energy Efficiency Through Accurate Appliance-Level Power Monitoring, Automation and Data Visualization. In: Ben Ahmed, M., Teodorescu, HN.L., Mazri, T., Subashini, P., Boudhir, A.A. (eds) Networking, Intelligent Systems and Security. Smart Innovation, Systems and Technologies, vol 237. Springer, Singapore. https://doi.org/10.1007/978-981-16-3637-0_43
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