Smart City Gnosys

Smart city article details

Title	An Iot-Based Approach For Energy Optimization And Intelligent Home Environment Management
ID_Doc	8724
Authors	Lorusso A.; Santaniello D.; Chavez Z.B.R.; Villecco F.
Year	2025
Published	Lecture Notes in Networks and Systems, 1483 LNNS
DOI	http://dx.doi.org/10.1007/978-3-031-95197-8_16
Abstract	The Internet of Things (IoT) paradigm has transformed the establishment of interconnected technology settings, paving the way for novel approaches to intelligent service management. Smart Cities and Smart Homes are just a few examples of how this technology might improve people’s lives. This study proposes a novel way to Smart Home management that combines the Internet of Things with graphic representation and machine learning techniques. Our technology enables you to collect and analyze data from sensors and other devices, resulting in relevant information and autonomous actions that optimize energy and ventilation control. Our method was evaluated using a prototype, and the findings were positive in terms of energy efficiency and user happiness. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
Author Keywords	Energy Optimization; Environmental Monitoring; Internet of things; Smart Home; User-Centered Automation

Similar Articles

Id	Similarity	Authors	Title	Published
51056	0.898	Saleem A.A.; Hassan M.M.; Ali I.A.	Smart Homes Powered By Machine Learning: A Review	Proceedings of the 2nd 2022 International Conference on Computer Science and Software Engineering, CSASE 2022 (2022)
33921	0.894	Imran; Iqbal N.; Kim D.H.	Iot Task Management Mechanism Based On Predictive Optimization For Efficient Energy Consumption In Smart Residential Buildings	Energy and Buildings, 257 (2022)
32375	0.892	Nikpour M.; Yousefi P.B.; Jafarzadeh H.; Danesh K.; Shomali R.; Asadi S.; Lonbar A.G.; Ahmadi M.	Intelligent Energy Management With Iot Framework In Smart Cities Using Intelligent Analysis: An Application Of Machine Learning Methods For Complex Networks And Systems	Journal of Network and Computer Applications, 235 (2025)
2893	0.89	Landolfi E.; Lorusso A.; Marongiu F.; Santaniello D.; Troiano A.; Valentino C.	A Multilevel Approach For Smart Buildings Management	Proceedings - 2022 IEEE International Conference on Smart Computing, SMARTCOMP 2022 (2022)
25566	0.885	Waseem Q.; Wan Din W.I.S.; Bin Ab Rahman A.; Nisar K.	Exploring Machine Learning In Iot Smart Home Automation	8th International Conference on Software Engineering and Computer Systems, ICSECS 2023 (2023)
5161	0.879	Masroor M.; Rezazadeh J.; Ayoade J.; Aliehyaei M.	A Survey Of Intelligent Building Automation With Machine Learning And Iot	Advances in Building Energy Research, 17, 3 (2023)
30844	0.874	Padmanaban S.; Nasab M.A.; Sagar A.; Zand M.; Dashtaki M.A.; Nasab M.A.	Improving Energy Consumption In Smart Homes Based On The Internet Of Things	Biomass and Solar-Powered Sustainable Digital Cities (2024)
2539	0.872	Islam M.B.; Guerrieri A.; Gravina R.; Fortino G.	A Meta-Survey On Intelligent Energy-Efficient Buildings	Big Data and Cognitive Computing, 8, 8 (2024)
8877	0.871	Hemlata; Rai M.	An Optimized Demand For Cost And Environment Benefits Towards Smart Residentials Using Iot And Machine Learning	Sustainable Smart Homes and Buildings with Internet of Things (2024)
8624	0.871	Peralta Abadía J.J.; Smarsly K.	An Introduction And Systematic Review On Machine Learning For Smart Environments/Cities: An Iot Approach	Intelligent Systems Reference Library, 121 (2022)