The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Energy saving potential through artificial lighting system in PV integrated smart buildings
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“On the other hand, the initial cost of the grid is low because there is no investment.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [171]
In the citing paper
“At some point, there is no electricity expenditure at all, which is called zero net energy.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [171]
In the citing paper
“Initially, smart lighting + PV will be more expensive than the grid because of the investment spent on smart lighting, PV, and products installation.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [171]
In the citing paper
“Nevertheless, gradually, the cost of smart lighting + PV will decrease.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [171]
In the citing paper
“At some point, the initial lower cost of the grid will outweigh the smart lighting + PV.”
From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as [171]
4 more claims about this paper
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Citations
Cites
EDGAR v4.3.2 Global Atlas of the three major greenhouse gas emissions for the period 1970–2012
Janssens-Maenhout, G., Crippa, M., Guizzardi, D., Muntean, M., Schaaf, E., Dentener, F., Bergamaschi, P., Pagliari, V., Olivier, J. G. J., Peters, J. A. H. W., et al. (2019) · Earth System Science Data · doi:10.5194/essd-11-959-2019 · Cited by 811
A review of transparent solar photovoltaic technologies
Husain, A. A. F., Hasan, W. Z. W., Shafie, S., Hamidon, M. N., & Pandey, S. S. (2018) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.06.031 · Cited by 490
A review of performance of zero energy buildings and energy efficiency solutions
Belussi, L., Barozzi, B., Bellazzi, A., Danza, L., Devitofrancesco, A., Fanciulli, C., Ghellere, M., Guazzi, G., Meroni, I., Salamone, F., et al. (2019) · Journal of Building Engineering · doi:10.1016/j.jobe.2019.100772 · Cited by 468
Economic analysis of BIPV systems as a building envelope material for building skins in Europe
Gholami, H., & Røstvik, H. N. (2020) · Energy · doi:10.1016/j.energy.2020.117931 · Cited by 150
Doulos, L. Τ., Kontadakis, A., Madias, E. N. D., Sinou, M., & Tsangrassoulis, A. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.04.033 · Cited by 148
Smart lighting system using ANN-IMC for personalized lighting control and daylight harvesting
Kandasamy, N. K., Karunagaran, G., Spanos, C. J., Tseng, K. J., & Soong, B. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.05.005 · Cited by 136
Gholami, H., Røstvik, H. N., & Müller-Eie, D. (2019) · Energy and Buildings · doi:10.1016/j.enbuild.2019.109461 · Cited by 132
Jain, S., & Garg, V. (2018) · Building and Environment · doi:10.1016/j.buildenv.2018.03.018 · Cited by 106
Qiu, C., & Yang, H. (2020) · Applied Energy · doi:10.1016/j.apenergy.2020.115414 · Cited by 98
Cited by
Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey
Putrada, A. G., Abdurohman, M., Perdana, D., & Nuha, H. H. (2022) · IEEE Access · doi:10.1109/access.2022.3169765 · Cited by 101
“Shankar et al. [171] explains the economic analysis in more detail by comparing the cost of smart lighting plus photovoltaic (PV), aka solar panels, with conventional electricity from the grid.”
Background
Metadata
- Authors
- Shankar, A., Vijayakumar, K., & Babu, B. C.
- Affiliations
- Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram (IN)
- Corresponding author
- Vijayakumar, Krishnasamy
- Venue
- Journal of Building Engineering
- Publisher
- Elsevier BV
- Published
- 2021-11
- Volume
- 43
- Pages
- 103080
- ISSN
- 2352-7102 (ISSN-L)
- OpenAlex
- W3191274740
- Cited by
- 47
- References
- 22
- Citations by year
- 2026: 7 · 2025: 8 · 2024: 14 · 2023: 11 · 2022: 5 · 2021: 2
- FWCI
- 3.67
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Journal of Building Engineering (publishedVersion)
- Funders
- Department of Science and Technology, Ministry of Science and Technology, India (DST/TMD/MES/2k18/157)
- Topics
- Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
- Physical Sciences › Energy › Renewable Energy, Sustainability and the Environment › Solar Thermal and Photovoltaic Systems
- Physical Sciences › Engineering › Electrical and Electronic Engineering › Smart Grid Energy Management
- Keywords
- artificial lighting, daylight harvesting, building-integrated photovoltaics, zero energy buildings, smart lighting, low-voltage DC distribution, office buildings, energy surplus, levelized cost of electricity, environmental footprint, building envelope
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Energy saving potential through artificial lighting system in PV integrated smart buildings. https://app.cochat.ai/papers/10.1016/j.jobe.2021.103080
- The paper
- Shankar, A., Vijayakumar, K., & Babu, B. C. (2021). Energy saving potential through artificial lighting system in PV integrated smart buildings. Journal of Building Engineering. https://doi.org/10.1016/j.jobe.2021.103080
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
