Essays about: "Simple term"
Showing result 1 - 5 of 210 essays containing the words Simple term.
-
1. Predicting Electricity Consumption with ARIMA and Recurrent Neural Networks
University essay from Uppsala universitet/Statistiska institutionenAbstract : Due to the growing share of renewable energy in countries' power systems, the need for precise forecasting of electricity consumption will increase. This paper considers two different approaches to time series forecasting, autoregressive moving average (ARMA) models and recurrent neural networks (RNNs). READ MORE
-
2. A Markovian Approach to Financial Market Forecasting
University essay from KTH/Matematisk statistikAbstract : This thesis aims to investigate the feasibility of using a Markovian approach toforecast short-term stock market movements. To assist traders in making soundtrading decisions, this study proposes a Markovian model using a selection ofthe latest closing prices. READ MORE
-
3. The modern folkhem
University essay from Lunds universitet/IndustridesignAbstract : ”Most of Sweden’s surface is covered by forest, 68 percent is woodland; the built-up and landscaped land does not make up more than 3 percent of Sweden’s total land area. About 50% of the forest land is made of pine (Pinus sylvestris), making it the most common tree species in the country’s forests. READ MORE
-
4. Predicting Cryptocurrency Prices with Machine Learning Algorithms: A Comparative Analysis
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background: Due to its decentralized nature and opportunity for substantial gains, cryptocurrency has become a popular investment opportunity. However, the highly unpredictable and volatile nature of the cryptocurrency market poses a challenge for investors looking to predict price movements and make profitable investments. READ MORE
-
5. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. READ MORE