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Create function to detect hours when sauna is used from ruuvitag data.
lubridate::hour()
goal: use with electrity consumption data.
Write more intro to github issue
GPT 3.5
GitHub Issue Title:
Creating a Function to Detect Sauna Usage Hours from RuuviTag Data
Issue Description:
As we aim to optimize our electricity consumption, it's crucial to identify patterns in the usage of appliances such as the sauna. The RuuviTag data provides valuable insights into temperature and humidity levels, which can be indicative of sauna usage. To streamline this process and integrate it with our electricity consumption analysis, we need to develop a function that detects sauna usage hours from RuuviTag data.
Objective:
The goal of this task is to create a function that utilizes RuuviTag data to detect the hours during which the sauna is being used. This function will facilitate the integration of sauna usage patterns with electricity consumption data, enabling us to make informed decisions about energy optimization strategies.
Proposed Solution:
We plan to leverage the lubridate::hour() function in R to extract the hour component from timestamps in the RuuviTag data. By analyzing temperature and humidity trends during different hours, we can identify patterns indicative of sauna usage. The function will take RuuviTag data as input and output a list of hours during which sauna usage is detected.
Expected Deliverables:
Sauna Usage Detection Function: A well-documented R function capable of identifying sauna usage hours from RuuviTag data.
Usage Documentation: Clear instructions on how to use the function, including input requirements and expected output format.
Test Cases: A set of test cases to ensure the function performs accurately under various scenarios.
Integration Guide: Guidelines on integrating the sauna usage detection function with electricity consumption data analysis workflows.
Deadline:
We aim to have the sauna usage detection function ready for testing and integration within two weeks from the date of this issue.
Additional Information:
Sample RuuviTag data will be provided for development and testing purposes.
Collaboration from team members with expertise in data analysis and sauna operations is welcome to ensure the accuracy and effectiveness of the function.
Feedback and suggestions for improvement throughout the development process are highly encouraged.
The text was updated successfully, but these errors were encountered:
Create function to detect hours when sauna is used from ruuvitag data.
Write more intro to github issue
GPT 3.5
GitHub Issue Title:
Creating a Function to Detect Sauna Usage Hours from RuuviTag Data
Issue Description:
As we aim to optimize our electricity consumption, it's crucial to identify patterns in the usage of appliances such as the sauna. The RuuviTag data provides valuable insights into temperature and humidity levels, which can be indicative of sauna usage. To streamline this process and integrate it with our electricity consumption analysis, we need to develop a function that detects sauna usage hours from RuuviTag data.
Objective:
The goal of this task is to create a function that utilizes RuuviTag data to detect the hours during which the sauna is being used. This function will facilitate the integration of sauna usage patterns with electricity consumption data, enabling us to make informed decisions about energy optimization strategies.
Proposed Solution:
We plan to leverage the lubridate::hour() function in R to extract the hour component from timestamps in the RuuviTag data. By analyzing temperature and humidity trends during different hours, we can identify patterns indicative of sauna usage. The function will take RuuviTag data as input and output a list of hours during which sauna usage is detected.
Expected Deliverables:
Sauna Usage Detection Function: A well-documented R function capable of identifying sauna usage hours from RuuviTag data.
Usage Documentation: Clear instructions on how to use the function, including input requirements and expected output format.
Test Cases: A set of test cases to ensure the function performs accurately under various scenarios.
Integration Guide: Guidelines on integrating the sauna usage detection function with electricity consumption data analysis workflows.
Deadline:
We aim to have the sauna usage detection function ready for testing and integration within two weeks from the date of this issue.
Additional Information:
Sample RuuviTag data will be provided for development and testing purposes.
Collaboration from team members with expertise in data analysis and sauna operations is welcome to ensure the accuracy and effectiveness of the function.
Feedback and suggestions for improvement throughout the development process are highly encouraged.
The text was updated successfully, but these errors were encountered: