Mobile Information Systems

Mobile Information Systems / 2014 / Article
Special Issue

Internet of Things

View this Special Issue

Open Access

Volume 10 |Article ID 956135 |

Juan López-de-Armentia, Diego Casado-Mansilla, Sergio López-Pérez, Diego López-de-Ipiña, "Reducing Energy Waste through Eco-Aware Everyday Things", Mobile Information Systems, vol. 10, Article ID 956135, 25 pages, 2014.

Reducing Energy Waste through Eco-Aware Everyday Things

Received23 Jul 2013
Accepted23 Jul 2013


Society wastes much more energy than it should. This produces tons of unnecessary CO2 emissions. This is partly due to the inadequate use of electrical devices given the intangible and invisible nature of energy. This misuse of devices and energy unawareness is particularly relevant in public spaces (offices, schools, hospitals and so on), where people use electrical appliances, but they do not directly pay the invoice to energy providers. Embedding intelligence within public, shared appliances, transforming them into Eco-aware things, is valuable to reduce a proportion of the unnecessarily consumed energy. To this end, we present a twofold approach for better energy efficiency in public spaces: (1) informing persuasively to concerned users about the misuse of electronic appliances; (2) Customizing the operating mode of this everyday electrical appliances as a function of their real usage pattern. To back this approach, a capsule-based coffee machine placed in a research laboratory has been augmented. This device is able to continuously collect its usage pattern to offer feedback to coffee consumers about the energy wasting and also, to intelligently adapt its operation to reduce wasted energy. To this aim, several machine learning approaches are compared and evaluated to forecast the next-day device usage.

Copyright © 2014 Hindawi Publishing Corporation. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

More related articles

 PDF Download Citation Citation
 Order printed copiesOrder

Related articles

We are committed to sharing findings related to COVID-19 as quickly as possible. We will be providing unlimited waivers of publication charges for accepted research articles as well as case reports and case series related to COVID-19. Review articles are excluded from this waiver policy. Sign up here as a reviewer to help fast-track new submissions.