Evidence map›Paper›PMID 40121221›Full record

ArticleScientific data2025

Solar PV Generation and Consumption Dataset of an Estonian Residential Dwelling.

Sayeed Hasan, Andrei Blinov, Andrii Chub, Dmitri Vinnikov

Abstract read
In one paragraph

Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

4 authors.

Sayeed HasanDepartment of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia. sayeed.hasan@taltech.ee.ORCID http://orcid.org/0000-0002-9578-4519
Andrei BlinovDepartment of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.
Andrii ChubDepartment of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.
Dmitri VinnikovDepartment of Electrical Power Engineering and Mechatronics, Tallinn University of Technology, Ehitajate tee 5, 19086, Tallinn, Estonia.

Funding

EC | Horizon 2020 Framework Programme (EU Framework Programme for Research and Innovation H2020) 955614Eesti Teadusagentuur (Estonian Research Council) PRG1086Ministry of Education and Research | Estonian Research Competency Council (Research Competency Council) Tk230Ministry of Education and Research | Estonian Research Competency Council (Research Competency Council) TK230
6 · The paper itself

Abstract

Reliable data on residential power generation and consumption is vital for effectively integrating renewable energy sources. This is particularly important in the Baltic countries, where climate variability significantly impacts energy production and consumption. Such high-resolution residential usage data is beneficial for various applications, including planning, demand response, consumption behavior analysis, and forecasting. The dataset presented in this study contains one year (2023) of photovoltaic (PV) generation and energy meter power flow data collected at ten-second intervals from a residential dwelling in Estonia. To gather this data, two Camille Bauer PQ1000 power quality monitoring units were installed on the PV and meter side wiring of the house. The paper thoroughly discusses the data collection process, the original dataset, the processed data, and the feature analysis.

Identifiers

PMID40121221
PMCPMC11929768

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.