USEM: A ubiquitous smart energy management system for residential homes

With the ever-increasing worldwide demand for energy, and the limited available energy resources, there is a growing need to reduce our energy consumption whenever possible. Therefore, over the past few decades a range of technologies have been proposed to assist consumers with reducing their energy use. Most of these have focused on decreasing energy consumption in the industry, transport, and services sectors. In more recent years, however, growing attention has been given to energy use in the residential sector, which accounts for nearly 30% of total energy consumption in the developed countries. Here we present one such system, which aims to assist residential users with monitoring their energy usage and provides mechanisms for setting up and controlling their home appliances to conserve energy. We also describe a user study we have conducted to evaluate the effectiveness of this system in supporting its users with a range of tools and visualizations developed for ubiquitous devices such as mobile phones and tablets. The findings of this study have shown the potential benefits of our system, and have identified areas of improvement that need to be addressed in the future

Creative User-Centered Visualization Design for Energy Analysts and Modelers

We enhance a user-centered design process with techniques that deliberately promote creativity to identify opportunities for the visualization of data generated by a major energy supplier. Visualization prototypes developed in this way prove effective in a situation whereby data sets are largely unknown and requirements open – enabling successful exploration of possibilities for visualization in Smart Home data analysis. The process gives rise to novel designs and design metaphors including data sculpting. It suggests: that the deliberate use of creativity techniques with data stakeholders is likely to contribute to successful, novel and effective solutions; that being explicit about creativity may contribute to designers developing creative solutions; that using creativity techniques early in the design process may result in a creative approach persisting throughout the process. The work constitutes the first systematic visualization design for a data rich source that will be increasingly important to energy suppliers and consumers as Smart Meter technology is widely deployed. It is novel in explicitly employing creativity techniques at the requirements stage of visualization design and development, paving the way for further use and study of creativity methods in visualization design

Digital energy visualisations in the workplace: the e-Genie tool

Building management systems are designed for energy managers; there are few energy feedback systems designed to engage staff. A tool, known as e-Genie, was developed to engage workplace occupants with energy data and support them to take action to reduce energy use. Building on research insights within the field, e-Genie’s novel approach encourages users to make plans to meet energy saving goals, supports discussion, and considers social energy behaviours (e.g. discussing energy issues, taking part in campaigns) as well as individual actions. A field based study of e-Genie indicated that visualisations of energy data were engaging and that the discussion ‘Pinboard’ was particularly popular. Pre- and post survey (N = 77) evaluation of users indicated that people were significantly more concerned about energy issues and reported engaging more in social energy behaviour after ~two weeks of e-Genie being installed. Concurrently, objective measures of electricity use decreased over the same period, and continued decreasing over subsequent weeks. Indications are that occupant facing energy feedback visualisations can be successful in reducing energy use in the workplace; furthermore supporting social energy behaviour in the workplace is likely to be a useful direction for promoting action

FSEA 2014 – Proceedings of the AVI 2014 Workshop on Fostering Smart Energy Applications through Advanced Visual Interfaces

It is with great pleasure that we welcome you to FSEA 2014, the AVI 2014 workshop on Fostering Smart Energy Applications through Advanced Visual Interfaces. This workshop focuses on advanced interaction, interface, and visualization techniques for energy-related applications, tools, and services. It brings together researchers and practitioners from a diverse range of background, including interaction design, human-computer interaction, visualization, computer games, and other fields concerned with the development of advanced visual interfaces for smart energy applications. FSEA 2014 is the result of the efforts of many people involved in its organization, including our programme committee, and others who have assisted us in putting this workshop together

An empirical investigation of domestic energy data visualizations

Which device in your home uses the most electricity? Many people have a poor understanding of their domestic energy consumption. In this paper, we evaluated three data visualizations used to deliver feedback. These were: (1) an aggregated line graph – showing changes in total electricity consumption over time, (2) a disaggregated line graph – showing changes in electricity consumed over time but separated out at the appliance-level, and (3) an area-based visualization – showing the cumulative energy consumed by different appliances over a given time period. In an experiment, 65 participants used one of these three visualizations to make sense of the same pattern of domestic electricity data. Participants who used the area-based visualization gained a more accurate understanding of how much electricity different domestic appliances were using compared to participants who were shown time series data. These results suggest that the choice of data visualization will impact people's understanding from smart metering systems, and that appliance-wise disaggregation offers the most promising approach for visualizing domestic electricity consumption data

The use of social media for improving energy consumption awareness and efficiency: An overview of existing tools

Raising consumers’ awareness of energy consumption is one of the first steps in encouraging the adoption of energy saving behaviours that result in energy efficiency. Green information systems are becoming recognised as a solution to many environmental problems although information technology (e.g. disposal of IT devices) has also been associated with causing detrimental effects on the environment. Researchers and practitioners have begun to focus on Green ICT but there is little scholarly research on the use of ICT tools such as social media from an energy efficiency context to raise consumer awareness and improve their engagement in tackling environmental issues. Therefore, the aim of this paper is to explore the use of social media and existing tools for the interaction of people on energy saving discussions and for generating awareness and engagement (which thereby leads to energy efficiency behaviour). In this paper the authors provide a state of the art review around the concept of energy awareness, models of consumer engagement, and more importantly the use of social media in the energy efficiency context. This research is based on a desk-based normative review and seeks to provide a better understanding to both scholars and practitioners involved in the use of ICT for driving energy consumer awareness and engagement for energy efficiency.This work evolved in the context of the project DAREED (Decision support Advisor for innovative business models and useR engagement for smart Energy Efficient Districts), www.dareed.eu, a project co-funded by the EC within FP7, Grant agreement no: 609082

Water Knowledge

Water scarcity is problematic in Santa Fe, New Mexico. The Water Team was tasked to help the Santa Fe Watershed Association to revive the Santa Fe River by improving people\u27s relationships with water. First the team created maps using Google Maps and Java coding that link to data collected by the city. These maps will automatically update when the city modifies data spreadsheets. Second, the team created a model to serve as a foundation to show the interaction of water in the environment within the Santa Fe River Watershed. A phone application was designed to increase public interaction with the river. This project has provided the city of Santa Fe with the ability to transform its methods of publicizing watershed data and increasing community involvement in the Santa Fe Watershed

Power and Energy Visualisation in the Home

This thesis explores ways of improving the ability for households to manage their consumption of electricity, in the context of increasing concerns regarding global warming, and ever-growing demands for electricity. The thesis first explores the understanding of power and energy concepts and relationships, to establish whether poor understanding of these concepts affects people’s ability to be aware of and manage their consumption. It then, given that being informed is an important contributor to awareness, proceeds to explore the effectiveness of two different styles of energy visualisation in the home: numerical detail, and a more abstract representation. The results demonstrated that participants had a limited understanding of the relationship between the power and energy. The statistical relationship between participants’ understanding and their ability to manage energy consumption in their home was a positive weak correlation. Participants believed that the abstract representation was more useful and clear than the numerical representation in visualizing home energy consumption in both studies. In representing power consumption in home, using an abstract meter was better than using a digital visualization meter because of the clarity of representation and attractive display

Data fusion strategies for energy efficiency in buildings: Overview, challenges and novel orientations

Recently, tremendous interest has been devoted to develop data fusion strategies for energy efficiency in buildings, where various kinds of information can be processed. However, applying the appropriate data fusion strategy to design an efficient energy efficiency system is not straightforward; it requires a priori knowledge of existing fusion strategies, their applications and their properties. To this regard, seeking to provide the energy research community with a better understanding of data fusion strategies in building energy saving systems, their principles, advantages, and potential applications, this paper proposes an extensive survey of existing data fusion mechanisms deployed to reduce excessive consumption and promote sustainability. We investigate their conceptualizations, advantages, challenges and drawbacks, as well as performing a taxonomy of existing data fusion strategies and other contributing factors. Following, a comprehensive comparison of the state-of-the-art data fusion based energy efficiency frameworks is conducted using various parameters, including data fusion level, data fusion techniques, behavioral change influencer, behavioral change incentive, recorded data, platform architecture, IoT technology and application scenario. Moreover, a novel method for electrical appliance identification is proposed based on the fusion of 2D local texture descriptors, where 1D power signals are transformed into 2D space and treated as images. The empirical evaluation, conducted on three real datasets, shows promising performance, in which up to 99.68% accuracy and 99.52% F1 score have been attained. In addition, various open research challenges and future orientations to improve data fusion based energy efficiency ecosystems are explored