Essays about: "Time Series Prediction"
Showing result 36 - 40 of 242 essays containing the words Time Series Prediction.
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36. Voltage-Based Multi-step Prediction : Data Labeling, Software Evaluation, and Contrasting DRL with Traditional Prediction Methods
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : In this project, three primary problems were addressed to improve battery data management and software performance evaluation. All solutions used voltage values in time together with various device characteristics. Battery replacement labeling was performed using Hidden Markov Models. READ MORE
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37. Forecasting Visitors in Smart Building Environments : Modeling and estimation of the number of guests using SARIMAX
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Time series modeling is a commonly used approach in exchange for studying and analyzing the data to support decision-making in companies based on historical data and thereby help them to save costs. This work introduces a forecasting framework that utilizes a seasonal autoregressive integrated moving average with exogenous variables (SARIMAX) model to forecast the number of people expected to enter a building within a short period. READ MORE
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38. Radio Environment Classification
University essay from Umeå universitet/Institutionen för fysikAbstract : This thesis has looked into the possibility of classifying radio environment scenarios based on data received in base stations. It was done in order to improve forecasting of electrical output in these base stations. READ MORE
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39. Stock Price Prediction with Social Media Sentiment
University essay from Göteborgs universitet/Företagsekonomiska institutionenAbstract : This thesis investigates the correlation effects between social media sentiments and the stock price of AMZN and TSLA, by utilizing pre-trained machine learning models, so-called transformers, and lexicon-based models. The comments were fetched from two sources, Reddit and Twitter. READ MORE
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40. Predicting corporate financial distress- A deep neural network approach
University essay from Göteborgs universitet/Graduate SchoolAbstract : Background. Predicting bankruptcy is of great importance for creditors, investors and other stakeholders. Early warning signs of financial distress allow stakeholders to take action to minimize the negative consequences of a bankruptcy. READ MORE
