Evidence map›Paper›PMID 38844496›Full record

ArticleScientific data2024

CLEMD, a circuit-level electrical measurements dataset for electrical energy management.

Omar Al-Khadher, Azharudin Mukhtaruddin, Fakroul Ridzuan Hashim, Muhammad Mokhzaini Azizan, Hussin Mamat, Ahmed Aqlan

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Omar Al-KhadherFaculty of Engineering, Universiti Pertahanan Nasional Malaysia, 57000, Sungai Besi, Kuala Lumpur, Malaysia.ORCID http://orcid.org/0000-0001-5579-9743
Azharudin MukhtaruddinFaculty of Engineering, Universiti Pertahanan Nasional Malaysia, 57000, Sungai Besi, Kuala Lumpur, Malaysia. azharudin@upnm.edu.my.
Fakroul Ridzuan HashimFaculty of Engineering, Universiti Pertahanan Nasional Malaysia, 57000, Sungai Besi, Kuala Lumpur, Malaysia.
Muhammad Mokhzaini AzizanFaculty of Engineering and Built Environment, Universiti Sains Islam Malaysia, 71800, Bandar Baru Nilai, Nilai, Negeri Sembilan, Malaysia.
Hussin MamatSchool of Aerospace Engineering, Universiti Sains Malaysia, Engineering Campus, 14300, Nibong Tebal, Penang, Malaysia.
Ahmed AqlanNetworks and Communications Unit, Northern Border University, 91431, Arar, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Enhancing energy efficiency in commercial buildings is crucial for reducing energy consumption. Achieving this goal requires careful monitoring and analysis of the energy usage patterns exhibited by different devices. Nonetheless, gathering data from individual appliances in commercial buildings presents difficulties due to the large number of appliances, complex installations, and costs. This paper presents the Circuits-Level Electrical Measurements Dataset (CLEMD). The measurement was conducted at the main switchboard to a set of distribution boards instead of measuring at the individual loads. The data is gathered from an institutional setting. It consists of 42 records of vital electrical parameters including voltage, current, frequency, real power, reactive power, apparent power, power factor, and odd harmonics for electrical currents. The device deployed in the measurement were industry-grade and had a high sampling rate of 200 kHz. The measurements were done over a 40-day period, from September 16 2023 to October 25 2023. CLEMD is the first Malaysian public dataset on circuit-level electricity consumption and offers analysis opportunities in different research areas such as electricity load disaggregation at circuit level, circuit identification, load profile forecasting, and pattern recognition.

Identifiers

PMID38844496
PMCPMC11156870

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.