Essays about: "Distribution Network"
Showing result 16 - 20 of 720 essays containing the words Distribution Network.
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16. Biodiversity Monitoring Using Machine Learning for Animal Detection and Tracking
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : As an important indicator of biodiversity and ecological environment in a region, the number and distribution of animals has been given more and more attention by agencies such as nature reserves, wetland parks, and animal protection supervision departments. To protect biodiversity, we need to be able to detect and track the movement of animals to understand which animals are visiting the space. READ MORE
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17. Exploration of using Twitter data to predict Swedish political opinion polls with neural networks
University essay from Lunds universitet/Matematisk statistikAbstract : This thesis aims to explore the possibility of using deep learning techniques to mine opinions on Twitter, with the objective to predict the political opinion distribution in Sweden. Different methods of gathering and annotating training data are evaluated to achieve accurate and reliable predictions. READ MORE
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18. Substation Digitalization for Medium Voltage Urban Distribution Networks : A Techno-Economic Analysis
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : High and medium-voltage digital substations play an essential role in the energy transition since they are part of the equipment required to deploy smart grids. With the gradual increase of smart grids, energy systems are becoming more flexible with the growing penetration of renewable energies and distributed energy generation. READ MORE
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19. Autoencoder-Based Likelihood-Free Parameter Inference of Gene Regulatory Network
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Likelihood-free parameter inference is a well-known statistical methodology that estimates the posterior distribution of model parameters even in cases where the likelihood function is intractable. The performance of this method is highly correlated with the learning of summary statistics, which capture the key features from the high dimensional data such as time series. READ MORE
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20. AI/ML Development for RAN Applications : Deep Learning in Log Event Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Since many log tracing application and diagnostic commands are now available on nodes at base station, event log can easily be collected, parsed and structured for network performance analysis. In order to improve In Service Performance of customer network, a sequential machine learning model can be trained, test, and deployed on each node to learn from the past events to predict future crashes or a failure. READ MORE