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Energy Management of Smart Homes
2020 IEEE International Conference on Smart Computing (SMARTCOMP), 2020This paper presents a Markov chain based probabilistic model to get users' stochastic activity patterns and to predict the energy consumption of a smart home. These predictions are then incorporated in our prediction and feedback based proactive energy conservation (PF-PEC) algorithm, to reduce electricity cost without compromising human comfort.
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Energy Management in the Smart Home
2013 IEEE 10th International Conference on Ubiquitous Intelligence and Computing and 2013 IEEE 10th International Conference on Autonomic and Trusted Computing, 2013As the cost of energy will in all probability remain on an upward trajectory for the foreseeable future, minimising energy expenditure is of strategic importance for governments, commercial organisations and individuals alike. While the desire to consume energy efficiently may be universal, albeit for diverse reasons, realising and sustaining effective
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A home energy management system
Transactions of the Institute of Measurement and Control, 2018In this study, an offline home energy management system that reduces electricity expense and peak demand without deteriorating residents’ contentment is considered. The main goal is to improve the system in the sense of reducing electricity expense, via interfering with appliances by means of interrupting as well as shifting their operation; and ...
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Solar home energy management system
2017 IEEE AFRICON, 2017With the energy crisis in South Africa the government has urged citizens to save energy in order to avoid blackouts. With the current system, a user is only able to see at the end of the month whether or not they were successful. And even then, not enough power consumption information is provided. This paper proposes an affordable solution for managing
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