Abstract
The Distribution Substation Planning Toolkit (DSP Toolkit) is a software suite designed to streamline the planning and optimization of distribution substations. This toolkit offers a comprehensive set of tools and APIs for data curation, short-term electric load forecasting, and weather-sensitive load adjustment, making it an essential resource for utility companies, engineers, and researchers.
Features
• Data Preprocessing and Curation: Efficiently manage and preprocess large datasets to ensure high-quality input for analysis.
• Short-Term Load Forecasting: Utilize data-driven models to predict short-term electric loads accurately.
• Weather-Sensitive Modeling: Automatically adjust load forecasts based on weather data to predict future peak demands more precisely.
Uses
The DSP Toolkit is ideal for planning and optimizing distribution substations, providing a user-friendly interface and comprehensive documentation. It is suitable for both novice and experienced users, facilitating efficient and accurate planning processes.
Advantages
• Efficiency: Automates complex planning tasks, reducing manual effort and minimizing errors.
• Scalability: Handles large datasets and complex models, making it suitable for large-scale projects.
• Community and Support: Open-source with active community contributions, ensuring continuous improvement and support.
• Extensibility: Easily extendable with custom modules and plugins, allowing users to tailor the toolkit to their specific needs.
The DSP Toolkit stands out by offering a robust, flexible, and user-friendly solution for distribution substation
More>>
- Developers:
-
Li, Han [1] ; Hong, Tianzhen [1] ; Sun, Kaiyu [1] ; Heleno, Miguel [1] ; Zhang, Wanni [1] ; Rodriguez Garcia, Luis [1]
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Release Date:
- 2025-06-23
- Project Type:
- Closed Source
- Software Type:
- Scientific
- Sponsoring Org.:
-
USDOEPrimary Award/Contract Number:AC02-05CH11231
- Code ID:
- 170650
- Site Accession Number:
- 2025-051
- Research Org.:
- Lawrence Berkeley National Laboratory (LBNL), Berkeley, CA (United States)
- Country of Origin:
- United States
Citation Formats
Li, Han, Hong, Tianzhen, Sun, Kaiyu, Heleno, Miguel, Zhang, Wanni, and Rodriguez Garcia, Luis.
Distribution Substation Planning Toolkit (dsp-toolkit) v1.0.
Computer Software.
USDOE.
23 Jun. 2025.
Web.
doi:10.11578/dc.20251125.1.
Li, Han, Hong, Tianzhen, Sun, Kaiyu, Heleno, Miguel, Zhang, Wanni, & Rodriguez Garcia, Luis.
(2025, June 23).
Distribution Substation Planning Toolkit (dsp-toolkit) v1.0.
[Computer software].
https://doi.org/10.11578/dc.20251125.1.
Li, Han, Hong, Tianzhen, Sun, Kaiyu, Heleno, Miguel, Zhang, Wanni, and Rodriguez Garcia, Luis.
"Distribution Substation Planning Toolkit (dsp-toolkit) v1.0." Computer software.
June 23, 2025.
https://doi.org/10.11578/dc.20251125.1.
@misc{
doecode_170650,
title = {Distribution Substation Planning Toolkit (dsp-toolkit) v1.0},
author = {Li, Han and Hong, Tianzhen and Sun, Kaiyu and Heleno, Miguel and Zhang, Wanni and Rodriguez Garcia, Luis},
abstractNote = {The Distribution Substation Planning Toolkit (DSP Toolkit) is a software suite designed to streamline the planning and optimization of distribution substations. This toolkit offers a comprehensive set of tools and APIs for data curation, short-term electric load forecasting, and weather-sensitive load adjustment, making it an essential resource for utility companies, engineers, and researchers.
Features
• Data Preprocessing and Curation: Efficiently manage and preprocess large datasets to ensure high-quality input for analysis.
• Short-Term Load Forecasting: Utilize data-driven models to predict short-term electric loads accurately.
• Weather-Sensitive Modeling: Automatically adjust load forecasts based on weather data to predict future peak demands more precisely.
Uses
The DSP Toolkit is ideal for planning and optimizing distribution substations, providing a user-friendly interface and comprehensive documentation. It is suitable for both novice and experienced users, facilitating efficient and accurate planning processes.
Advantages
• Efficiency: Automates complex planning tasks, reducing manual effort and minimizing errors.
• Scalability: Handles large datasets and complex models, making it suitable for large-scale projects.
• Community and Support: Open-source with active community contributions, ensuring continuous improvement and support.
• Extensibility: Easily extendable with custom modules and plugins, allowing users to tailor the toolkit to their specific needs.
The DSP Toolkit stands out by offering a robust, flexible, and user-friendly solution for distribution substation planning.
Public Abstract},
doi = {10.11578/dc.20251125.1},
url = {https://doi.org/10.11578/dc.20251125.1},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20251125.1}},
year = {2025},
month = {jun}
}