Sökning: "tidsserieprognos"

Hittade 4 uppsatser innehållade ordet tidsserieprognos.

1. 1. Evaluating machine learning models for time series forecasting in smart buildings

   M1-uppsats, KTH/Hälsoinformatik och logistik

   Författare :Sarugan Balachandran; Diego Perez Legrand; [2023]
   Nyckelord :Machine learning; supervised learning; time series forecasting; neural networks; LSTM; En- semble LSTM; AT-LSTM; ARIMA; XGBoost; Maskininlärning; övervakad inlärning; tidsserie-prognostisering; neurala nätverk; LSTM; En- semble LSTM; AT-LSTM; ARIMA; XGBoost;

   Sammanfattning : Temperature regulation in buildings can be tricky and expensive. A common problem when heating buildings is that an unnecessary amount of energy is supplied. This waste of energy is often caused by a faulty regulation system. LÄS MER

3. 2. Voltage-Based Multi-step Prediction : Data Labeling, Software Evaluation, and Contrasting DRL with Traditional Prediction Methods

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Joakim Svensson; [2023]
   Nyckelord :Deep Reinforcement Learning; Multi-step Prediction; Time Series Forecasting; Djup Förstärkningsinlärning; Flerstegsprognos; Tidsserieprognos;

   Sammanfattning : 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. LÄS MER

4. 3. A comparative study between algorithms for time series forecasting on customer prediction : An investigation into the performance of ARIMA, RNN, LSTM, TCN and HMM

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för informationsteknologi

   Författare :Olof Almqvist; [2019]
   Nyckelord :machine learning; deep learning; time series forecasting; time series regression; data science; prediction; crisp-dm; keras; markov model; neural network; exploratory data analysis; maskininlärning; djupinlärning; tidsserieprediktion; tidsserieprognos; neurala nätverk; markovmodell; explorativ dataanalys; dataanalys;

   Sammanfattning : Time series prediction is one of the main areas of statistics and machine learning. In 2018 the two new algorithms higher order hidden Markov model and temporal convolutional network were proposed and emerged as challengers to the more traditional recurrent neural network and long-short term memory network as well as the autoregressive integrated moving average (ARIMA). LÄS MER

5. 4. Federated Learning for Time Series Forecasting Using Hybrid Model

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Yuntao Li; [2019]
   Nyckelord :Federated Learning; Time Series Forecasting; Recurrent Neural Networks; Long Short-Term Memory; Hybrid Model; Federerad Inlärning; Tidsserieprognostisering; Återkommande Neurala Nätverk; LSTMs; Hybrida Modeller;

   Sammanfattning : Time Series data has become ubiquitous thanks to affordable edge devices and sensors. Much of this data is valuable for decision making. In order to use these data for the forecasting task, the conventional centralized approach has shown deficiencies regarding large data communication and data privacy issues. LÄS MER