Suchergebnisse

Recent advances in wireless networking and microelectronic fabrication have enabled a mass production of low-cost computationally capable miniature devices that can be used in different innovative solutions. Since residential sector has been identified as one the most energy demanding, there exists a strong interest in exploitation of connected smart devices with the aim of improving energy efficiency, user comfort and the overall quality of life. The IoT platform that will be presented in this paper aims to reach the aforementioned goals with the combination of smart monitoring and control devices with the advanced energy services capable of analyzing the collected data and providing control actions and suggestions towards the end users via intuitive mobile and web applications. This work was partly financed by the European Union (H2020 RESPOND project, Pr. No: 768619, H2020 InBetween project, Pr. No: 768776), H2020 LAMBDA project, Pr. No: 809965) and by the Ministry of Science and Technological Development of Republic of Serbia (Pr. No: TR-32010).

This paper discusses Smart Energy Manager (SEM) mobile application for energy management in smart buildings which is developed as a result of the ongoing H2020 projects InBetween and Sofia. SEM app belongs to the visualization layer of the InBetween platform serving as an interface from the system towards the end users with the aim to help them to identify their energy wastes, teach them how to conserve energy and steer their behavior to be more energy efficient. The application is based on Android OS, and it relies on a backend built with CakePHP framework which is used to integrate the application with the rest of the InBetween platform, its main data storage and advanced energy analytic services. Finally, we present the main functionalities of the app along with the data scheme which is used to store users and deployed equipment related data. This work was partly financed by the European Union (H2020 InBetween project, Pr. No: 768776), H2020 LAMBDA project, Pr. No: 809965) and by the Ministry of Science and Technological Development of Republic of Serbia (Pr. No: TR-32010).

In recent years, advances in wireless communications, microelectronics and sensing technology have allowed a production of computationally capable low-cost miniature devices that can be used in different innovative solutions. Due to constant increase of energy consumption, and since residential sector has been identified as one the most energy demanding, there exists a strong interest in exploitation of connected smart devices with the aim of improving energy efficiency, user comfort and the overall quality of life. The Smart Energy Manager based on an IoT platform which will be presented in this paper aims to reach the aforementioned goals with the combination of monitoring and control devices with the advanced energy services capable of analyzing the collected data and providing control actions and suggestions aimed at the end users via intuitive end-user applications. This work was partly financed by the European Union (H2020 InBetween project, Pr. No: 768776), H2020 LAMBDA project, Pr. No: 809965) and by the Ministry of Science and Technological Development of Republic of Serbia (Pr. No: TR-32010).

The paper discusses possible system architectures and corresponding deployment models for an IoT-based platform for increasing energy efficiency of end-users and facilitating change in their behaviour in this regard. The main objective is to provide for a flexible and modular architecture able to integrate IoT based monitoring and actuating devices with advance energy services. A brief overview of the most prominent middleware-based architectures capable of providing integration of heterogeneous hardware and software components is followed by the proposed system architecture and deployment model. Finally, a proposal for implementation of architecture building blocks is given through state-of-the art open source solutions. The research presented in this paper is partly financed by the European Union (H2020 InBetween project, Pr. No.: 768776), and partly by the Ministry of Science and Technological Development of Republic of Serbia (SOFIA project, Pr. No.: TR-32010).

Achieving energy efficiency is crucial in order to improve environment and life quality. Therefore, within the residential sector, research efforts on advanced approaches to steer end users to save the energy and adapt their consumption are widely spread. One of recent approaches being used is creating a competitive environment which would stimulate the users to improve their habits. The main idea of this paper is proposing a data-driven machine learning clustering approach for ranking users depending on their consumption measurements and other relevant data collected from a real-world pilot in France. Within this paper, exploited data, implementation details and results will be presented. The research presented in this paper is partly financed by the European Union (H2020 InBetween project 768776, GA. No: H2020 LAMBDA project, GA. No: 809965), and partly by the Ministry of Education, Science and Technological Development of the Republic of Serbia