Smart Energy Usage and Visualization Based on Micro-moments

被引：14

作者：

Alsalemi, Abdullah ^{[1
]}

Bensaali, Faycal ^{[1
]}

Amira, Abbes ^{[2
]}

Fetais, Noora ^{[3
]}

Sardianos, Christos ^{[4
]}

Varlamis, Iraklis ^{[4
]}

机构：

[1] Qatar Univ, Dept Elect Engn, Doha, Qatar

[2] De Montfort Univ, Fac Comp Engn & Media, Leicester LE1 9BH, Leics, England

[3] Qatar Univ, KINDI Ctr Comp Res, Doha, Qatar

[4] Harokopio Univ Athens, Dept Informat & Telemat, Athens, Greece

来源：

INTELLIGENT SYSTEMS AND APPLICATIONS, VOL 2 | 2020年 / 1038卷

关键词：

Domestic energy usage; Energy efficiency; Data visualization; Recommender systems; CONSUMPTION; HABIT;

D O I：

10.1007/978-3-030-29513-4_41

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Due to global energy demands and overwhelming environmental dilemmas, exorbitant domestic energy usage is a colossal barrier towards energy efficiency. Tremendous research efforts have been poured into a plethora of methods for behavioral change. However, there is an expanse of opportunity to capitalize on evidence-based, technology-enabled energy efficiency solutions. Therefore, we present a novel application that effectively visualizes domestic energy data, presents meaningful and simplified benchmarks pertaining the efficiency of the end-user's usage, and contextually presents micro-moment based recommendations for better energy efficiency. The solution is part of a larger Consumer Engagement Towards Energy Saving Behavior by means of Exploiting Micro Moments and Mobile Recommendation Systems (EM)(3) platform. Simulated and real energy data tests signifies the premise of the application and pinpoints areas of future work including more comprehensive data visualization, a richer recommendation system, and a full-fledged micromoment behavior observer.

引用

页码：557 / 566

页数：10

共 13 条

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