US Renewable Energy Programs
Generation, States, Programs, Contacts, and More
By [source]
About this dataset
The Renewable Energy Program Database in the United States is a comprehensive source of quantitative information on renewable energy incentive and regulatory policies, program parameters, and generation data. It features a holistic overview of the production and utilization of renewable energy across all fifty states in the United States making it a terrific asset for anyone looking to understand sustainable energy practices and analyze how they can apply their knowledge to help create more robust policies. With this dataset, analysts can not only assess current usage and trends but also uncover potential development opportunities that would benefit from additional investment incentives or other regulatory solutions. Moreover, it also provides insight into how we could better use existing technologies to build a greener future for our planet!
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How to use the dataset
This dataset enables you to explore and analyze the use of renewable energy programs in the US. It is organized into two main files: program_type.csv, which provides information on the types of renewable energy programs available in the United States; and parameter_set_sector.csv, which provides detailed quantitative information about renewable energy incentive and regulatory policies, program parameters and generation data across all fifty states. The dataset can be used to track trends in renewable energy policy across states, compare different types of renewable energy programs, explore financial incentives for green initiatives or identify high-performing practices at state levels.
To get started with this dataset, choose a file from either program_type or parameter set sectors and open it up in Kaggle Notebooks or some other data analysis platform of your choice. From there you will have access to all available parameters including name (name of the programme), primary technologies (the dominant technology used within that programme) as well as other variables related to those programmes like sectors (catergories based on geographical scope) total funding(total funding provided) etcetera.. Once you are familiar with that particular dataset look for relationships between different variables by creating visualizations such as scatterplots or bar graphs. In addition you can also view your analysis through geospatial maps by linking a map visualization application such as leaflet map box etcetera..
Research Ideas
- Analyzing the effectiveness of renewable energy incentives and policies by state, to inform decisions about enacting new policies or reforming current programs.
- Creating predictive models based on the dataset to estimate potential future trends in renewable energy use and investment in specific sectors or markets within each state.
- Comparing across states in terms of their relative success with renewable energy programs, providing insight into best practices that other states could adopt or replicate
Acknowledgements
If you use this dataset in your research, please credit the original authors.
Data Source
License
License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.
Columns
File: program_type.csv
Column name |
Description |
name |
The name of the renewable energy program. (String) |
File: parameter_set_sector.csv
Acknowledgements
If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .