After a break of a few weeks, I returned to work on my time series book ?. So far, I have been mainly focused on creating the backend and framework of the book - which includes setting up a Docker ? environment and packaging the datasets I will use in the book. This weekend, focusing on packaging the last dataset - the hourly generation of electricity in the New York sub-region. This data will be available in the NYgrid package (? WIP ⚠️):
https://github.com/RamiKrispin/NYgrid

Book repo ➡️ : https://github.com/RamiKrispin/atsaf
Data source: EIA API

#timeseries #rstats #forecasting #datascience #electricity

Version 0.1.1 of the EIAapi is now on CRAN ?

Main changes:
✅️️️️ Added new function to pull metadata
✅️️ Created intro doc

https://ramikrispin.github.io/EIAapi/articles/intro.html

ramikrispin.github.io

Introduction to the EIA API

EIAapi

Update the notebook, I love the serverless functionality of the observable plot library ??

https://observablehq.com/d/73d928e49832a0ad

Testing different methods to present the data in the book interactively using serverless methods. Created this Observable notebook with a plot of all the time series available in the USgas package with the Observable plot library ??
https://observablehq.com/d/73d928e49832a0ad

Example of time series foreacsting with deep learning in R using torch, R interface to PyTorch, from Sigrid Keydana's new book - ???? ???????? ??? ?????????? ????????? ???? ? ?????:
https://skeydan.github.io/Deep-Learning-and-Scientific-Computing-with-R-torch/time_series.html

Continue to work on my book, still focusing on the book prerequisites - docker environment, datasets, supporting packages, etc.

This weekend working on the last prerequisite - package the hourly demand for electricity in New York independent system operator by sub-region, which will be used as an example for high-frequency time series.

https://github.com/RamiKrispin/NYgrid

Once this is done, hopefully, this weekend, starting next weekend will start to work on the book's first chapters ?

GitHub

GitHub - RamiKrispin/NYgrid: New York Independent System Operator Hourly Demand by Sub-Region

New York Independent System Operator Hourly Demand by Sub-Region - GitHub - RamiKrispin/NYgrid: New York Independent System Operator Hourly Demand by Sub-Region

The EIAapi R package is now on CRAN ?

The EIA API is one of my favorite resources for real-life time series data examples ❤️. I packaged a couple of datasets (see the USgas and USgrid packages), and it is going to be the main resource for my upcoming book on time series analysis and forecasting. The package provides a function to seamlessly query data from the EIA API v2 in a tidy format.

Source code: https://github.com/RamiKrispin/EIAapi
Documentation: https://ramikrispin.github.io/EIAapi/

#rstats #timeseries #forecasting #datascience #data

Version 0.1.2 of the USgas R data package is now on CRAN ?

The USgas package provides an overview of the consumption of natural gas in the US since 1973 with more than 300 monthly time series ? (or a total of 7700 years of data).

Data source: EIA

Resources
Source code: https://github.com/RamiKrispin/USgas
Documentation: https://ramikrispin.github.io/USgas/index.html
CSV format: https://github.com/RamiKrispin/USgas/tree/main/csv