An open IoT platform for the management and analysis of energy data

被引:97
作者
Terroso-Saenz, Fernando [1 ]
Gonzalez-Vidal, Aurora [1 ]
Ramallo-Gonzalez, Alfonso P. [1 ]
Skarmeta, Antonio F. [1 ]
机构
[1] Univ Murcia, Dept Informat & Commun Engn, Comp Sci Fac, Murcia, Spain
来源
FUTURE GENERATION COMPUTER SYSTEMS-THE INTERNATIONAL JOURNAL OF ESCIENCE | 2019年 / 92卷
基金
欧盟地平线“2020”;
关键词
IoT platform; Energy consumption; FIWARE; Data mining; BIG DATA ANALYTICS; BUILDING ENERGY; SMART BUILDINGS; INTERNET; BEHAVIOR; EFFICIENCY; THINGS;
D O I
10.1016/j.future.2017.08.046
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Buildings are key players when looking at end-use energy demand. It is for this reason that during the last few years, the Internet of Things (IoT) has been considered as a tool that could bring great opportunities for energy reduction via the accurate monitoring and control of a large variety of energy-related agents in buildings. However, there is a lack of IoT platforms specifically oriented towards the proper processing, management and analysis of such large and diverse data. In this context, we put forward in this paper the IoT Energy Platform (IoTEP) which attempts to provide the first holistic solution for the management of IoT energy data. The platform we show here (that has been based on FIWARE) is suitable to include several functionalities and features that are key when dealing with energy quality insurance and support for data analytics. As part of this work, we have tested the platform IoTEP with a real use case that includes data and information from three buildings totalizing hundreds of sensors. The platform has exceed expectations proving robust, plastic and versatile for the application at hand. (C) 2017 Elsevier B.V. All rights reserved.
引用
收藏
页码:1066 / 1079
页数:14
相关论文
共 44 条
[31]   Factors influencing perceptions of domestic energy information: Content, source and process [J].
Simcock, Neil ;
MacGregor, Sherilyn ;
Catney, Philip ;
Dobson, Andrew ;
Ormerod, Mark ;
Robinson, Zoe ;
Ross, Simon ;
Royston, Sarah ;
Hall, Sarah Marie .
ENERGY POLICY, 2014, 65 :455-464
[32]   Cloud-Based Software Platform for Big Data Analytics in Smart Grids [J].
Simmhan, Yogesh ;
Aman, Saima ;
Kumbhare, Aloe ;
Liu, Rongyang ;
Stevens, Sam ;
Zhou, Qunzhi ;
Prasanna, Viktor .
COMPUTING IN SCIENCE & ENGINEERING, 2013, 15 (04) :38-47
[33]   Research Directions for the Internet of Things [J].
Stankovic, John A. .
IEEE INTERNET OF THINGS JOURNAL, 2014, 1 (01) :3-9
[34]  
Telefonica 1+0, 2017, COMET DOC
[35]  
Telefonica I+D, 2017, ORION CONT BROK DOC
[36]  
Telefonica I+D, 2017, IOT AG DOC
[37]  
Telefonica I+D, 2017, PERSEO OFF REP
[38]   A user behaviour-driven smart-home gateway for energy management [J].
Vastardis, Nikolaos ;
Kampouridis, Michael ;
Yang, Kun .
JOURNAL OF AMBIENT INTELLIGENCE AND SMART ENVIRONMENTS, 2016, 8 (06) :583-602
[39]   The effect of real-time context-aware feedback on occupants' heating behaviour and thermal adaptation [J].
Vellei, Marika ;
Natarajan, Sukumar ;
Biri, Benjamin ;
Padget, Julian ;
Walker, Ian .
ENERGY AND BUILDINGS, 2016, 123 :179-191
[40]  
Moreno MV, 2015, IEEE ICC, P698, DOI 10.1109/ICC.2015.7248403