Wind Farms Maintenance Optimization Using a Pickup and Delivery VRP Algorithm
Author:
Publisher
Springer International Publishing
Link
http://link.springer.com/content/pdf/10.1007/978-3-030-71846-6_4
Reference39 articles.
1. Castellani, F., Astolfi, D., Sdringola, P., Proietti, S., Terzi, L.: Analyzing wind turbine directional behavior: SCADA data mining techniques for efficiency and power assessment. Appl. Energy 185, 1076–1086 (2017). https://doi.org/10.1016/j.apenergy.2015.12.049
2. Lecture Notes in Business Information Processing;O Merkt,2020
3. Green Energy and Technology;RS Ferreira,2014
4. Zhang, X., Zeng, J.: A general modeling method for opportunistic maintenance modeling of multi-unit systems. Reliab. Eng. Syst. Saf. 140, 176–190 (2015). https://doi.org/10.1016/j.ress.2015.03.030
5. Dai, J., Yang, W., Cao, J., Liu, D., Long, X.: Ageing assessment of a wind turbine over time by interpreting wind farm SCADA data. Renew. Energy 116, 199–208 (2018). https://doi.org/10.1016/j.renene.2017.03.097
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