openenergydatainitiative/ornl-data-imputation repository overview

⁠Point On Wave Data Imputation

• Objective: To fill in the missing data points in the point on wave data stream

⁠Methodology:

• Long Short-Term Memory (LSTM) algorithm

⁠to run the container

1. Open a terminal or command prompt, pull the docker image using the following command: docker pull openenergydatainitiative/ornl-instantaneous-frequency-estimation

2. Run the Docker image using the following command which maps port 8889 of the container to the host's port 8889: docker run -p 8889:8889 openenergydatainitiative/ornl-instantaneous-frequency-estimation

3. You should see the Jupyter Notebook server starting up. Look for a URL with a token in the terminal output, similar to: http://127.0.0.1:8889/?token=⁠

4. Copy the URL and paste it into a web browser. This will open the Jupyter Notebook interface in your browser, where you can access and work with the notebook.