Essays about: "root mean squared error"
Showing result 1 - 5 of 60 essays containing the words root mean squared error.
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1. Learning a Grasp Prediction Model for Forestry Applications
University essay from Umeå universitet/Institutionen för fysikAbstract : Since the advent of machine learning and machine vision methods, progress has been made in tackling the long-standing research question of autonomous grasping of arbitrary objects using robotic end-effectors. Building on these efforts, we focus on a subset of the general grasping problem concerning the automation of a forwarder. READ MORE
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2. Battery Degradation and Health Monitoring in Lithium-Ion Batteries: An Evaluation of Parameterization and Sensor Fusion Strategies
University essay from Linköpings universitet/Institutionen för systemteknikAbstract : The purpose of this project was to perform model-based diagnosis on Li-ion batteries using real-world data and sensor fusion algorithms. The data used in this project was collected and distributed by NASA and mainly consists of voltage and current measurements collected on numerous batteries that were repeatedly charged and discharged from their beginning of life, and until surpassing their end of life. READ MORE
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3. On The Evaluation of District Heating Load Predictions
University essay from Lunds universitet/Institutionen för energivetenskaperAbstract : District Heating is a technology with the potential to enable a fossil-free society. However, to realize this potential, some improvements need to be made in order to improve District Heating operation at large, decrease losses in the systems, and thus increase the competitiveness of District Heating as a technology. READ MORE
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4. Study of evaluation metrics while predicting the yield of lettuce plants in indoor farms using machine learning models
University essay from Högskolan i Skövde/Institutionen för informationsteknologiAbstract : A key challenge for maximizing the world’s food supply is crop yield prediction. In this study, three machine models are used to predict the fresh weight (yield) of lettuce plants that are grown inside indoor farms hydroponically using the vertical farming infrastructure, namely, support vector regressor (SVR), random forest regressor (RFR), and deep neural network (DNN). READ MORE
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5. COMPARATIVE ANALYSIS OF MACHINE LEARNING LOAD FORECASTING TECHNIQUES
University essay from Stockholms universitet/Institutionen för data- och systemvetenskapAbstract : Load forecasting plays a critical role in energy management, and power systems, enabling efficient resource allocation, improved grid stability, and effective energy planning and distribution. Without accurate very short term load forecasting, utility management companies face uncertain load patterns, unrealistic prices, and poor infrastructure planning. READ MORE
