Pereis, A. TJayasinghe, J. M. J. WRathnayake, U. S2022-01-312022-01-312021-03mila 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/10.1155/2021/55775472090-0147https://rda.sliit.lk/handle/123456789/840Under 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.enFiltering AlgorithmPositioning AccuracyLogistics Tracking SystemTracking System Based3D Virtual WarehousingWarehousing LogisticsDemonstration SystemForecasting Wind Power Generation using Artificial Neural Network: “Pawan Danawi” - A Case Study from Sri LankaArticlehttps://doi.org/10.1155/2021/5577547