Observability

Agarwal, Anshul; Munigala, Vitobha; Ramamritham, Krithi

doi:10.1145/2993422.2993427

Cited by 14 publications

(3 citation statements)

References 14 publications

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“…His research shows that each system can be activated remotely, and therefore can be applied to improve building's energy performance. The work of Agarwal et al (2016) addresses the installation of the IoT architecture within a Lab building infrastructure. It explores the strategic selection and placement of sensors with respect to building energy management to provide a good observability and control solution.…”

Section: Iot-related Applicationsmentioning

confidence: 99%

Towards High-Performance Buildings using IoT and AI technologies: A Comprehensive Review

Husein,

Alsyouf,

Mushtaha

et al. 2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

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Improving buildings' energy efficiency while preserving indoor thermal comfort conditions of hot climate regions has been within the high-interest topics among academics. Researchers have noted that achieving both concepts is essential to improve buildings' sustainability and energy management system. Therefore, it pushes the need to conduct a comprehensive review to maintain a common understanding of the topic and ensure solid foundations for future research. This paper aims to present a review on the state-of-art of Internet of Things (IoT) technology and Artificial Intelligence (AI) techniques to integrate better building energy management systems. This is achieved through a systematic literature review of 30 related papers from the past ten years. The paper argues that very few studies demonstrate the implementation of IoT-AI based methods in the building industry, and its full potential is not realized yet. Therefore, it calls for more attention from academics within the application perspective in the related field.

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Section: Iot-related Applicationsmentioning

confidence: 99%

Towards High-Performance Buildings using IoT and AI technologies: A Comprehensive Review

Husein,

Alsyouf,

Mushtaha

et al. 2022

Proceedings of the International Conference on Industrial Engineering and Operations Management

View full text Add to dashboard Cite

show abstract

“…Moreover, Agarwal et al. 82 developed a framework to achieve full observability by using a minimum number of dedicated sensor units. For experiments, they utilized various hard and soft sensors, including camera sensors.…”

Section: Occupancy Sensing Approachesmentioning

confidence: 99%

“…Also, environmental sensors are used to train the occupancy model 72 for building management, user comfort, 43 data mining-based localization schemes 86 and to optimize the number of sensors in the indoor environment without compromising the observability. 82…”

Section: Occupancy Sensing Approachesmentioning

confidence: 99%

Occupancy detection systems for indoor environments: A survey of approaches and methods

Trivedi

Badarla

2019

Indoor and Built Environment

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Utilization of smart services for indoor environments has gained extensive interest in the past decade due to the resulting increases in energy savings, user comfort and degree of automation. Occupancy detection is a critical element in automation systems due to its potential use in controlling electrical systems and devices such as lighting, air-conditioning and ventilation. It also has a high potential for improving the performance of demand-driven applications which require fine-grained occupancy information to optimize the trade-off between energy consumption and user comfort. Occupancy detection has been researched using different estimation methods and communication technologies. However, it remains challenging to procure sensory data and to model the occupancy information accurately due to the limitations of hardware deployment and underlying cost. This paper reviews existing occupancy methods and applications, along with their underlying issues. It provides a comparative analysis of the strategies from the perspectives of cost, intrusiveness and accuracy. Additionally, a new taxonomy which classifies the occupancy sensing techniques as being conventional or as alternate sensing has been proposed.

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A Novel Approach to Save Energy by Detecting Faulty HVACs

Agarwal

2021

J. Inst. Eng. India Ser. B

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Observability

Cited by 14 publications

References 14 publications

Towards High-Performance Buildings using IoT and AI technologies: A Comprehensive Review

Towards High-Performance Buildings using IoT and AI technologies: A Comprehensive Review

Occupancy detection systems for indoor environments: A survey of approaches and methods

A Novel Approach to Save Energy by Detecting Faulty HVACs

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