Towards an IOT-enabled intelligent energy management system
Kalliopi Kravari, Theodoros I. Kosmanis, Athanasios N. Papadimopoulos · 2017 18th International Symposium on Electromagnetic Fields in Mechatronics, Electrical and Electronic Engineering (ISEF) Book of Abstracts · 2017
Vehicles and billion other physical devices are today enriched with electronics, sensors and software that enable data collection and exchange. At the same time, Internet-of-Things initiates a new era where the world will change deeply and decisively in many ways. In this context, both industry and research community attempts to merge engineering and artificial intelligence. This direction considers objects, vehicles, devices and even buildings, as the driving force for autonomous IoT that enables intelligent management for crucial issues. To this end, this article proposes a novel approach that combines theoretical and scientific knowledge, related to IoT and Artificial Intelligence to real-world needs as they are reported by an engineering perspective. The article presents the first steps towards a theoretical model that will lead to an intelligent platform which will enable efficient energy management in real world paradigms, moving from simulations to real-life applications.