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Cited by 56Building Energy and Comfort OptimizationImpact of Light on Environment and HealthSmart Cities and Technologies

The DOI matches its Crossref record.

Smart lighting as basic building block of smart city: An energy performance comparative case study

Open access
Petritoli, Enrico, Leccese, Fabio, Pizzuti, Stefano, Pieroni, Francesco·2019·Measurement
DOI 10.1016/j.measurement.2018.12.095
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Crossref · 10.1016/j.measurement.2018.12.095

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  • Dimming capability based on average traffic flow rate allows for energy efficiency compared to astronomical clock systems.

    “In addition, Petrioli et al. [70] directly compare astronomical clock systems with systems that employ dimming capabilities based on the information on average traffic flow rate.The dimming capability brought by the proposed system allows for energy efficiency.”

    From Machine Learning Methods in Smart Lighting Toward Achieving User Comfort: A Survey (2022) · cites this paper as Petrioli et al. [70]

Citations

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No references could be resolved yet.

Research works printed but not linked: 22

  1. Leccese, 2013, Remote-control system of high efficiency and intelligent street lighting using a zig bee network of devices and sensors, IEEE Trans. Power Deliv., 28, 21, 10.1109/TPWRD.2012.2212215 · DOI
  2. Elejoste, 2013, An easy to deploy street light control system based on wireless communication and LED technology, Sensors (Switzerland), 13, 6492, 10.3390/s130506492 · DOI
  3. Hong, 2014, An efficient hybrid LED street lighting management system design using standalone solar photovoltaic, J. Inst. Control Robot. Syst., 20, 984, 10.5302/J.ICROS.2014.14.0039 · DOI
  4. Lee, 2015, A low-cost and noninvasive system for the measurement and detection of faulty streetlights, IEEE Trans. Instrument. Measure., 64, 1019, 10.1109/TIM.2014.2361551 · DOI
  5. S. Pizzuti “Towards Smart Cities: methods and real life applications” doctoral thesis.
  6. E. Petritoli, F. Leccese, M. Botticelli, S. Pizzuti, F. Pieroni ““Smart Street” Pilot Site: a RAMS Analysis for a Scale-up Configuration”, 2018 IEEE International Workshop on Metrology for Industry 4.0 and IOT, April 16-18, Brescia, Italy. · DOI
  7. P. Přibyl and O. Přibyl, “Definition of a smart street as smart city's building element,” 2015 Smart Cities Symposium Prague (SCSP), Prague, 2015, pp. 1-6. doi: 10.1109/SCSP.2015.7181575. · DOI
  8. Chen, 2017, Crousourcing for on-street smart parking, Energy Procedia, 111, 790
  9. Walravens, 2013, Platform business models for smart cities: from control and value to governance and public value, IEEE Commun. Mag., 51, 72, 10.1109/MCOM.2013.6525598 · DOI · Paper page
  10. F. Marino, F. Leccese, S. Pizzuti, “Adaptive Street Lighting Predictive Control”, Energy Procedia, Volume 111, 2017, Pages 790-799, ISSN 1876-6102 · DOI
  11. S. Aman, Y. Simmhan, V. K. Prasanna, University of Southern California, “Energy Management Systems: State of the Art and Emerging Trends”, IEEE Communications Magazine – (s.l.) IEEE, January 2013 -1: vol 51, pp: 114-119 · DOI
  12. L. Liu, Y. liu, L. Wang, A. Zomaya, S. Hu, “Economical and Balanced Energy Usage in the Smart Home Infrastructure: A Tutorial and New Results”, IEEE Transactions on Emerging Topics in Computing (Volume: 3, Issue: 4) pp: 556 – 570. · DOI
  13. F. Leccese, “Rome: A first example of perceived power quality of electrical energy” (2007) Proceedings of the IASTED International Conference on Energy and Power Systems, pp. 169-176.
  14. M. Caciotta, F. Leccese, A. Trifiro, From power quality to perceived power quality” (2006) Proceedings of the IASTED International Conference on Energy and Power Systems, 2006, pp. 94-102.
  15. L. Anthopoulos, P. Fitsilis, “Understanding Smart City Business Models: A comparison”, 16th International Conference on Advanced Communications Technology (ICACT2014), IEEE, 2014.
  16. C. T. Barba, M. Á. Mateos, P. R. Soto, A. M. Mezher and M. A. Igartua, “Smart city for VANETs using warning messages, traffic statistics and intelligent traffic lights,” 2012 IEEE Intelligent Vehicles Symposium, Alcala de Henares, 2012, pp. 902-907. · DOI
  17. M. Castro, A.J. Jara and A.F.G. Skarmeta, “Smart Lighting Solutions for Smart Cities”, 27th International Conference on Advanced Information Networking and Applications Workshops, Barcelona, 2013, pp. 1374–1379. · DOI
  18. Leccese, 2014, A smart city application: a fully controlled street lighting isle based on Raspberry-Pi card, a ZigBee sensor network and WiMAX, Sensors (Switzerland), 14, 24408, 10.3390/s141224408 · DOI
  19. L. Parise, F. Lamonaca and D. L. Carnì, “Interior lighting control system: A practical case using daylight harvesting control strategy,” 2015 IEEE 15th International Conference on Environment and Electrical Engineering (EEEIC), Rome, 2015, pp. 719–724. doi: 10.1109/EEEIC.2015.7165253). · DOI
  20. G. Andria, L. Salvatore, M. Savino and A. Trotta, “Techniques for identification of harmonics in industrial power systems,” [1992] Conference Record IEEE Instrumentation and Measurement Technology Conference, Metropolitan, NY, USA, 1992, pp. 114-119. Doi: 10.1109/IMTC.1992.245166. · DOI
  21. R. Morello et al., “Comparison of state and parameter estimators for electric vehicle batteries,” IECON 2015 – 41st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, 2015, pp. 005433-005438. doi: 10.1109/IECON.2015.7392955. · DOI
  22. G. D'Emilia, D. Di Gasbarro, M. Catelani and L. Ciani, “A proposal of uncertainty assessment for data of environmental testing: Using a machine learning procedure,” 2018 IEEE International Instrumentation and Measurement Technology Conference (I2MTC), Houston, TX, 2018, pp. 1-6. doi: 10.1109/I2MTC.2018.8409597 · DOI

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Metadata

Authors
Petritoli, E., Leccese, F., Pizzuti, S., & Pieroni, F.
Affiliations
  • Roma Tre University (IT)
  • National Agency for New Technologies, Energy and Sustainable Economic Development (IT)
Corresponding author
Leccese, Fabio
ORCID
Venue
Measurement
Publisher
Elsevier BV
Published
2019-03
Volume
136
Pages
466-477
ISSN
0263-2241 (ISSN-L)
DOI
10.1016/j.measurement.2018.12.095
OpenAlex
W2906912776
Cited by
56
References
0
Citations by year
2026: 4 · 2025: 4 · 2024: 8 · 2023: 13 · 2022: 8 · 2021: 9 · 2020: 7 · 2019: 3
FWCI
3.80
Type
journal article
Language
en
Open access
Licence
Locations
  • Measurement (publishedVersion)
  • Iris (Roma Tre University) (submittedVersion, cc-by-nc-nd)
Funders
Ministero dell’Istruzione, dell’Università e della Ricerca (MIUR 2012 DD591/2012)
Topics
  • Physical Sciences › Engineering › Building and Construction › Building Energy and Comfort Optimization
  • Physical Sciences › Environmental Science › Global and Planetary Change › Impact of Light on Environment and Health
  • Social Sciences › Urban Studies › Smart Cities and Technologies
Keywords
smart street lighting, smart cities, energy consumption, energy conservation, adaptive lighting control, traffic flow rate, dimming

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