Data aggregation, fusion and recommendations for strengthening citizens energy-aware behavioural profiles

Eleni Fotopoulou, A. Zafeiropoulos, Fernando Terroso-Sáenz, Aurora González-Vidal, A. Gómez-Skarmeta, Umutcan Simsek, A. Fensel
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引用次数: 5

Abstract

In this paper, ENTROPY platform, an IT ecosystem for supporting energy efficiency in buildings through behavioural change of the occupants is provided. The ENTROPY platform targets at providing a set of mechanisms for accelerating the adoption of energy efficient practices through the increase of the energy awareness and energy saving potential of the occupants. The platform takes advantage of novel sensor networking technologies for supporting efficient sensor data aggregation mechanisms, semantic web technologies for unified data representation, machine learning mechanisms for getting insights from the available data and recommendation mechanisms for providing personalised content to end users. These technologies are combined and provided through an integrated platform, targeting at leading to occupants' behavioural change with regards to their energy consumption profiles.
数据汇总、融合和建议,以加强市民的能源意识行为概况
在本文中,熵平台提供了一个IT生态系统,通过改变居住者的行为来支持建筑物的能源效率。“熵”平台旨在提供一套机制,通过提高住户的能源意识和节能潜力,加快采用节能措施。该平台利用新颖的传感器网络技术支持高效的传感器数据聚合机制、统一数据表示的语义web技术、从可用数据中获取见解的机器学习机制和向最终用户提供个性化内容的推荐机制。这些技术结合在一起,通过一个综合平台提供,旨在引导居住者在能源消耗方面的行为改变。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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