Essays about: "Forecast accuracy"
Showing result 16 - 20 of 212 essays containing the words Forecast accuracy.
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16. Estimation of Parabolic Microwave Antenna Movements Using Sensor Fusion
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Wireless communication has seamlessly integrated itself into our daily lives, with Ericsson pioneering the development of comprehensive mobile ecosystems. As the demand for data traffic continues to surge, the enhancement of both cellular radio systems and backhaul infrastructure remains paramount. READ MORE
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17. Comparison and performance analysis of deep learning techniques for pedestrian detection in self-driving vehicles
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Self-driving cars, also known as automated cars are a form of vehicle that can move without a driver or human involvement to control it. They employ numerous pieces of equipment to forecast the car’s navigation, and the car’s path is determined depending on the output of these devices. READ MORE
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18. Balancing Demand and Supply Planning in the Food Supply Chain : Insights from a Dairy Industry Case Study
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : Globalization and increasing demand for a variety of food products have contributed to challenges within the food industry (Zhu et al, 2018). The Food Supply Chain, FSC, involves several processes from production to distribution, involving actors from all the different steps in the network (Rohmer et al., 2018). READ MORE
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19. Wind Turbine Recovery Forecasting using Survival Analysis
University essay from Lunds universitet/Matematisk statistikAbstract : The goal of this thesis is to present a methodology for predicting time until recovery of failed wind turbines. The necessity is motivated by the potential for more accurate wind energy export forecasts. The current approach rests entirely on having an expert examine the turbine and produce a time estimate. READ MORE
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20. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing
University essay from Uppsala universitet/Luft-, vatten- och landskapsläraAbstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE