Abstract
An energy efficient street lighting system is proposed in this paper to reduce the energy consumption obtained by the streetlights. An autonomous adjustment of the brightness for the street lights is adopted by the sensing of pedestrians and vehicles. The street lights are lit with different levels of brightness in accordance with the circumstances. The parameters for estimating the energy consumption are discussed and subsequently, it is reduced. Various simulation results of our proposed work indicate an improvement over the existing approaches.
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Mohandas, P., Dhanaraj, J.S.A., Gao, X.Z.: Artificial neural network based smart and energy efficient street lighting system: a case study for residential area in Hosur. Sustain. Cities Soc. 48, 101499 (2019)
Marino, F., Leccese, F., Pizzuti, S.: Adaptive street lighting predictive control. Energy Procedia 111, 790–799 (2017)
Lau, S.P., Merrett, G.V., White, N.M.: Energy-efficient streetlighting through embedded adaptive intelligence. In: 2013 International Conference on Advanced Logistics and Transport, pp. 53–58. IEEE (2013)
Lau, S.P., Merrett, G.V., Weddell, A.S., White, N.M.: A traffic-aware street lighting scheme for Smart Cities using autonomous networked sensors. Comput. Electr. Eng. 45, 192–207 (2015)
Castro, M., Jara, A.J., Skarmeta, A.F.: Smart lighting solutions for smart cities. In: 2013 27th International Conference on Advanced Information Networking and Applications Workshops, pp. 1374–1379. IEEE (2013)
IEA, P.W.: Light’s Labour’s Lost. Policies for Energy-Efficient Lighting (2006)
Northeast Group, LLC, Global LED and Smart Street Lighting: Market Forecast (2014–2025), Washington: Northeast Group, LLC (2014)
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Sikdar, P.L., Thakurta, P.K.G. (2020). An Energy Efficient Autonomous Street Lighting System. In: Mandal, J., Mukhopadhyay, S. (eds) Proceedings of the Global AI Congress 2019. Advances in Intelligent Systems and Computing, vol 1112. Springer, Singapore. https://doi.org/10.1007/978-981-15-2188-1_46
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DOI: https://doi.org/10.1007/978-981-15-2188-1_46
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Publisher Name: Springer, Singapore
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Online ISBN: 978-981-15-2188-1
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