Near-real-time plug load identification using low-frequency power data in office spaces: Experiments and applications

Tekler, Zeynep Duygu; Low, Raymond; Zhou, Yuren; Yuen, Chau; Blessing, Luciënne; Spanos, Costas J.

doi:10.1016/j.apenergy.2020.115391

Cited by 38 publications

(25 citation statements)

References 26 publications

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“…and provide the advantage of massive amounts of new information for effective and efficient solutions to urban problems (Ataman & Tuncer, 2022). As a general rule, these tools offer greater flexibility in time and location of data collection while promoting social learning for better collective decisions (Tekler et al, 2020). The use of mixed methods for quantitative and qualitative data collection and analysis has been particularly important in such participatory design practices (Lobe et al, 2020).…”

Section: Asynchronous Digital Participation In Urban Design Processesmentioning

confidence: 99%

Asynchronous Digital Participation in Urban Design Processes: Qualitative Data Exploration and Analysis With Natural Language Processing

Ataman¹,

Tunçer²,

Perrault³

2022

CAADRIA Proceedings

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This paper aims to improve the usability of qualitative urban big data sources by utilizing Natural Language Processing (NLP) as a promising AI-based technique. In this research, we designed a digital participation experiment by deploying an open-source and customizable asynchronous participation tool, "Consul Project", with 47 participants in the campus transformation process of the Singapore University of Technology and Design (SUTD). At the end of the data collection process with several debate topics and proposals, we analysed the qualitative data in entry scale, topic scale, and module scale. We investigated the impact of sentiment scores of each entry on the overall discussion and the sentiment scores of each introduction text on the ongoing discussions to trace the interaction and engagement. Furthermore, we used Latent Dirichlet Allocation (LDA) topic modelling to visualize the abstract topics that occurred in the participation experiment. The results revealed the links between different debates and proposals, which allow designers and decision makers to identify the most interacted arguments and engaging topics throughout participation processes. Eventually, this research presented the potentials of qualitative data while highlighting the necessity of adopting new methods and techniques, e.g., NLP, sentiment analysis, LDA topic modelling, to analyse and represent the collected qualitative data in asynchronous digital participation processes.

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Section: Asynchronous Digital Participation In Urban Design Processesmentioning

confidence: 99%

Asynchronous Digital Participation in Urban Design Processes: Qualitative Data Exploration and Analysis With Natural Language Processing

Ataman¹,

Tunçer²,

Perrault³

2022

CAADRIA Proceedings

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“…Comparing the results, it can be easily seen that in the case of sinusoidal signals, the delay in sampling between the voltage and current channels changes mainly the reactive power. However, this can be easily fixed with the correction given by Equation (12) or (13). additionally, the four-point sampling version does not differ much from the two-point version as smoothing can always be obtained by averaging two adjacent samples.…”

Section: Required Number Of Samplesmentioning

confidence: 99%

“…In [13] a near-real-time plug load identification approach was proposed which uses low-frequency power data (1/60 Hz) to identify plug loads in office spaces.…”

Section: Introductionmentioning

confidence: 99%

Low-Frequency Signal Sampling Method Implemented in a PLC Controller Dedicated to Applications in the Monitoring of Selected Electrical Devices

Jaraczewski

Mielnik

Gębarowski³

et al. 2021

Electronics

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High requirements for power systems, and hence for electrical devices used in industrial processes, make it necessary to ensure adequate power quality. The main parameters of the power system include the rms-values of the current, voltage, and active and reactive power consumed by the loads. In previous articles, the authors investigated the use of low-frequency sampling to measure these parameters of the power system, showing that the method can be easily implemented in simple microcontrollers and PLCs. This article discusses the methods of measuring electrical quantities by devices with low computational efficiency and low sampling frequency up to 1 kHz. It is not obvious that the signal of 50–500 Hz can be processed using the sampling frequency of fs = 47.619 Hz because it defies the Nyquist–Shannon sampling theorem. This theorem states that a reconstruction of a sampled signal is only guaranteed possible for a bandlimit fmax < fs, where fmax is the maximum frequency of a sampled signal. Therefore, theoretically, neither 50 nor 500 Hz can be identified by such a low-frequency sampling. Although, it turns out that if we have a longer period of a stable multi-harmonic signal, which is band-limited (from the bottom and top), it allows us to map this band to the lower frequencies, thus it is possible to use the lower sampling ratio and still get enough precise information of its harmonics and rms value. The use of aliasing for measurement purposes is not often used because it is considered a harmful phenomenon. In our work, it has been used for measurement purposes with good results. The main advantage of this new method is that it achieves a balance between PLC processing power (which is moderate or low) and accuracy in calculating the most important electrical signal indicators such as power, RMS value and sinusoidal-signal distortion factor (e.g., THD). It can be achieved despite an aliasing effect that causes different frequencies to become indistinguishable. The result of the research is a proposal of error reduction in the low-frequency measurement method implemented on compact PLCs. Laboratory tests carried out on a Mitsubishi FX5 compact PLC controller confirmed the correctness of the proposed method of reducing the measurement error.

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“…In this context, digital participation tools and processes enable residents to collaborate with local governments DESIGN PROCESSES and provide the advantage of massive amounts of new information for effective and efficient solutions to urban problems (Ataman & Tuncer, 2022). As a general rule, these tools offer greater flexibility in time and location of data collection while promoting social learning for better collective decisions (Tekler et al, 2020). The use of mixed methods for quantitative and qualitative data collection and analysis has been particularly important in such participatory design practices (Lobe et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

2022

CAADRIA Proceedings

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The work collected in these volumes has been produced during extraordinary circumstances, as the Covid-19 pandemic has continued to impact working and living conditions. Papers have been written, reviewed and edited throughout lockdowns, challenging family situations and health crises. The high number of submissions and quality of the papers is a testament to the resilience and strength of the CAADRIA community.The papers in this publication have been selected through a two-stage, doubleblind peer review process. All reviews and papers have been evaluated by the Paper Selection Committee. After receiving an initial 488 abstract submissions, a final set of 150 full papers has been selected for publication. We thank all authors for their contributions to the process and congratulate the accepted paper authors.The papers in these proceedings are specifically selected for their contribution to this year's conference theme, following the conference organisers' call for authors to position their work in relation to the United Nations Sustainable Development Goals (SDGs). As the world is experiencing the increasing impacts of climate change, there is an urgent need to reflect on the potential of the latest research in architecture, urbanism and construction to address these global challenges.Our special thanks go out to our more than 180 international reviewers, who volunteered their valuable time and effort. We also thank the organising team in Sydney for developing the 2022 CAADRIA Conference as a strong collaborative effort between academic institutions, industry and practice. We thank Gabriel Wurzer for his support during the proceedings' final production stage, and for facilitating their publication via the open access database CumInCAD.org. Finally, we sincerely thank the CAADRIA community for offering us the honour to serve as members of the paper selection committee for Post-Carbon, the 27 th International CAADRIA Conference 2022.

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Near-real-time plug load identification using low-frequency power data in office spaces: Experiments and applications

Cited by 38 publications

References 26 publications

Asynchronous Digital Participation in Urban Design Processes: Qualitative Data Exploration and Analysis With Natural Language Processing

Asynchronous Digital Participation in Urban Design Processes: Qualitative Data Exploration and Analysis With Natural Language Processing

Low-Frequency Signal Sampling Method Implemented in a PLC Controller Dedicated to Applications in the Monitoring of Selected Electrical Devices

Proceedings of the 27th Conference on Computer Aided Architectural Design Research in Asia (CAADRIA) [Volume 1]

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