Essays about: "Neurala Nät"
Showing result 1 - 5 of 18 essays containing the words Neurala Nät.
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1. Coordination of base station energy storage for renewable energy grid : Utilizing Base Station battery storage to stabilize grids with Variable Renewable Energy Sources
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : An increasing amount of variable renewable energy sources are being added to the world’s power grids both as an effort to reduce greenhouse gas emissions in the fight against climate change but also because some of the energy sources with the lowest levelized cost of energy are variable renewable energy sources such as wind and photovoltaics. These energy sources come with inherent difficulties since their energy production is neither constant nor entirely controllable and can cause issues for the power grids if they cause power production and consumption to become imbalanced. READ MORE
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2. 3D Facial Modelling for Valence Estimation
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : We, as humans, purposely alter our facial expression to convey information during our daily interactions. However, our facial expressions can also unconsciously change based on external stimuli. READ MORE
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3. Short-term Forecasting of EV Charging Stations Power Consumption at Distribution Scale
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Due to the intermittent nature of renewable energy production, maintaining the stability of the power supply system is becoming a significant challenge of the energy transition. Besides, the penetration of Electric Vehicles (EVs) and the development of a large network of charging stations will inevitably increase the pressure on the electrical grid. READ MORE
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4. Predicting average response sentiments to mass sent emails using RNN
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This study is concerned with using the popular Recurrent Neural Network (RNN) model, and its variants Gated Recurrent Unit (GRU) and Long-Short Term Memory (LSTM), on the novel problem of Sentiment Forecasting (SF). The goal of SF is to predict what the sentiment of a response will be in a conversation, using only the previous utterance. READ MORE
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5. Gamma-ray tracking using graph neural networks
University essay from KTH/FysikAbstract : While there are existing methods of gamma ray-track reconstruction in specialized detectors such as AGATA, including backtracking and clustering, it is naturally of interest to diversify the portfolio of available tools to provide us viable alternatives. In this study some possibilities found in the field of machine learning were investigated, more specifically within the field of graph neural networks. READ MORE
