@inproceedings{38dab620ae084a2e9ad9756a1ecae6e8,
title = "An affordable and portable technology for real-time scheduling of appliances in smart homes",
abstract = "The objective of the paper is to motivate the readers towards finding implementable Internet of Things based solutions to existing well-researched engineering problems. Towards this end, this paper describes a portable and easy to use technology to enable consumers to shift their electricity consumption to times when the prices are low. This technology can be implemented on a platform that consists of a Belkin WeMo Smart Plug (WeMo), which can be autonomously turned on/off using an Intel Edison (Edison) through a WiFi connection. We use a simple Markov Model for predicting the real-time prices. Based on the predicted prices, a threshold-based policy is used for scheduling of devices. The choice of model and the scheduling algorithm is heavily influenced by the processing-and storage-capacity of this platform. Empirical analysis on real-data from Commonwealth Edison (ComEd), which is the largest electric utility in Illinois, shows that 90% of times, the customer paid no more than 1.5-1.6 times the omniscientminimum electricity bill for a particular device usage requirement.",
keywords = "Electricity pricing, Intel edison and markov model, Internet of things, Smart homes",
author = "A. Raman and R. Sowers and Sreenivas, {R. S.}",
note = "Publisher Copyright: {\textcopyright} 2019, IEOM Society International.; 4th North American IEOM Conference. IEOM 2019 ; Conference date: 23-10-2019 Through 25-10-2019",
year = "2019",
language = "English (US)",
isbn = "9781532359507",
series = "Proceedings of the International Conference on Industrial Engineering and Operations Management",
publisher = "IEOM Society",
pages = "788--800",
booktitle = "4th North American IEOM Conference. IEOM 2019",
}