Design of Home Energy Management System Using IoT Data Flow

Pérez-Camacho, Blanca-Nydia; González-Calleros, Juan-Manuel; Rodríguez-Gómez, Gustavo

doi:10.1007/978-3-030-37386-3_13

Cited by 2 publications

(2 citation statements)

References 19 publications

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“…In Figure 5A is showed furnace fan histogram. It is possible to see from this that the shape is like PDF s furnace fan, as reported in [47]. The same thing happens with Figure 5B-D compared with PDS's corresponding devices.…”

Section: Evaluation Of the Monte Carlo Simulationsupporting

confidence: 79%

Methodology for Designing an Electricity Demand System in the Context of IoT Household

et al. 2022

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Many efforts have been made to create scenarios whereby interconnecting IoT can be used. The primary objective of these efforts has been to centralize its access as a single list and to monitor its use and trigger its different functionalities from apps. However, few efforts have addressed the problem of electricity consumption from those devices in the context of a residence. Existing datasets for machine predictive systems are focused on data analytics for global consumption but neglect the use of such solutions by the common citizen as a means of re-educating our citizens and optimizing electricity consumption. Without considering the environmental impact and the urgent need to address this growing global emergency, ordinary citizens require systems that help them be aware of what they consume and thus aspire to make a change. In this work, we propose a methodology that builds on the formal mathematical modeling and development of a simulator to substitute the need to collect real data from real world context of use, as well as an interactive system that integrates the whole process. By adding this module to the architecture our prior work, this work is ready for use in real-life scenarios where electrical consumption could be significantly reduced.

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Section: Evaluation Of the Monte Carlo Simulationsupporting

confidence: 79%

Methodology for Designing an Electricity Demand System in the Context of IoT Household

et al. 2022

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“…Therefore, several projects or prototypes have been developed to solve this type of problem, which can be implemented with minicomputers, boards, sensors, and actuators that are cost-effective and easy to acquire, in order to provide greater safety for hospitalized patients [4], domotic solutions [5], improve education [6] and the automation of things (IoT) like watering the garden [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Low-Cost Gas Leak Detection and Surveillance System for Single Family Homes Using Wit.ai, Raspberry Pi and Arduino

Pérez-Palomino

Rosas-Paredes

Tejada

2022

Int. J. Interact. Mob. Technol.

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The current situation in the region of Arequipa (Peru) is an increase in crime and insecurity; companies that provide private surveillance services have increased the costs of equipment and services online. We propose is to implement a low-cost gas leakage and surveillance system for single-family houses, implemented with Raspberry Pi3, an Arduino board, SIM 900 module, sensors, actuators, and peripherals. The system alerts by sending a text message when an intruder enters the home or when there is a gas leak; it captures the webcam image that is sent to the homeowner's email. For voice command recognition, Wit.ai and Firebase are used for communication between the system and the mobile application. System functionality and usability tests were carried out, allowing us to know user satisfaction.

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Design of Home Energy Management System Using IoT Data Flow

Cited by 2 publications

References 19 publications

Methodology for Designing an Electricity Demand System in the Context of IoT Household

Methodology for Designing an Electricity Demand System in the Context of IoT Household

Low-Cost Gas Leak Detection and Surveillance System for Single Family Homes Using Wit.ai, Raspberry Pi and Arduino

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