Publication:
Forecasting Wind Power Generation using Artificial Neural Network: “Pawan Danawi” - A Case Study from Sri Lanka

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Article

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2021-03

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Hindawi

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Abstract

Under the background of the global integrated supply chain, the work of logistics is more and more complicated. Warehouse management is now an important part of logistics. The optimization of the logistics tracking system in the building material market proves that the tracking result of the system is highly reliable. The system has the advantages of small size, low cost, accurate positioning, real-time convergence, and high performance.

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Keywords

Filtering Algorithm, Positioning Accuracy, Logistics Tracking System, Tracking System Based, 3D Virtual Warehousing, Warehousing Logistics, Demonstration System

Citation

mila T. Peiris, Jeevani Jayasinghe, Upaka Rathnayake, "Forecasting Wind Power Generation Using Artificial Neural Network: “Pawan Danawi”—A Case Study from Sri Lanka", Journal of Electrical and Computer Engineering, vol. 2021, Article ID 5577547, 10 pages, 2021. https://doi.org/10.1155/2021/5577547

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