Context sensitive indoor temperature forecast for energy efficient operation of smart buildings

Moreno, María Ángeles Esteban; Skarmeta, Antonio F.; Venturi, Alberto; Schmidt, Mischa; Schuelke, Anett

doi:10.1109/wf-iot.2015.7389140

Cited by 12 publications

(5 citation statements)

References 14 publications

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“…Moreno et. al [9] forecasted for energy efficiency operation to analyse the potential benefits of the extracted information from the sensed data in smart buildings. Spencer et.…”

Section: Related Workmentioning

confidence: 99%

Temperature Monitoring in Home Automation System using Predictive Analytics & IOT

Jatain¹

2019

IJRAT

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A technology keeps on enabling our ability to perform analytics with "Internet of Things" (IOT) has emerged as an area where devices capture and transmit information. IOT is currently an evolving field and lot of research has been carried out in this regard and research indicates that predictive analytics with IOT is the most disruptive technology in the current era. Predictive analytics is being used in many applications such as healthcare, finance, marketing, smart home and analytics. The process of predictive analytics on IOT offers the flexibility of implementing the latest hardware by making certain changes to the dataset created by the previous generation hardware. In the home this digital explosion and access to the information is presently during the time spent being reached out to devices such as refrigerator, stoves, oven etc. The paper addresses the issues related to household devices those connected to the internet concerning their poor settings and suggesting the optimal results. The concept of predictive analytics is used to facilitate the most optimal setting by the templates which are created personally based on the sensor data received from various sensors implanted into home appliances. This paper also discusses challenges faced and value points during use of predictive analytics in IOT, while utilizing the huge dataset generated by IOT devices to ease the daily day to day task and accomplish the motive of smart home automation.

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“…Moreno et. al [9] forecasted for energy efficiency operation to analyse the potential benefits of the extracted information from the sensed data in smart buildings. Spencer et.…”

Section: Related Workmentioning

confidence: 99%

Temperature Monitoring in Home Automation System using Predictive Analytics & IOT

Jatain¹

2019

IJRAT

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“…Cyber Physical Systems have been used for space utilization and optimization tools in smart cities, using automated rule system [30], automated operational management [31], real-time systems monitoring [32], management and temperature prediction were proposed, all to increase comfort while economizing energy [31].…”

Section: Intelligent Systems Conference 2018 6-7 September 2018 | Lonmentioning

confidence: 99%

An Open Source Software Architecture for Smart Buildings

Alwan

Baravalle

Ciupala

et al. 2018

Advances in Intelligent Systems and Computing

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Open-source software has helped opening the software market to different players, usually cut off by licenses of expensive software packages. We claim that in the Built Environment a similar open source disruption can happen by putting together different projects in a software architecture based on open data standards. This paper describes the main open-source components of such software architecture, the Smart Building Controller (SBC) that we are developing, and possible future applications.

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“…These critical applications often call for a limited temperature range of operations but require a high level of accuracy and precision. Typical temperature ranges of 30-50 and 15-40°C are usually required for applications in health care/human activity monitoring and for smart building applications, respectively [8][9][10][11][12] . Compatibility with low-cost and low-temperature flexible substrates such as polyethylene terephthalate (PET) and polydimethylsiloxane (PDMS) is also important to boost device performances and/or applicability [13][14][15][16] .…”

Section: Introductionmentioning

confidence: 99%

All inkjet-printed perovskite-based bolometers

et al. 2020

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We show flexible bolometer devices produced entirely using digital inkjet printing on polymer substrates. The bolometers consist of a silver interdigital electrode thermistor covered with a methylammonium lead trihalide perovskite absorber layer which shows good absorber characteristics at visible wavelengths. Both the standalone thermistor and the complete bolometer devices show polymer PTC thermistor-like behavior over a temperature range of 17 to 36 °C, with a change in resistance up-to six orders of magnitude over this temperature range. The addition of the perovskite absorber to the thermistor structure provides the illumination-dependent behavior proper to bolometers.

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Context sensitive indoor temperature forecast for energy efficient operation of smart buildings

Cited by 12 publications

References 14 publications

Temperature Monitoring in Home Automation System using Predictive Analytics & IOT

Temperature Monitoring in Home Automation System using Predictive Analytics & IOT

An Open Source Software Architecture for Smart Buildings

All inkjet-printed perovskite-based bolometers

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