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pnnl/Forte

RESOURCE

Publicly Accessible Repository
https://github.com/pnnl/Forte
https://doi.org/10.11578/dc.20231020.3

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Abstract

Interactive user-interface application for deep probabilistic day-ahead net-load forecasting. This application allows a utility operator and/or other end-user to access through an easy interface the powers of advanced deep AI/ML algorithms for generating day-ahead probabilistic forecast of net-load. Also known as "VRN3P"
Developers:
Bhattacharjee, Kaustav [1] ;  Kundu, Soumya [1] ;  Vasios, Orestis [1] ;  Campbell, Allison [1] ;  Reiman, Andy [1]
  1. Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Release Date:
2023-10-20
Project Type:
Open Source, Publicly Available Repository
Software Type:
Scientific
Version:
1
Licenses:
BSD 2-clause "Simplified" License
Sponsoring Org.:
Code ID:
114862
Site Accession Number:
Battelle IPID 32831-E
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Country of Origin:
United States

RESOURCE

Publicly Accessible Repository
https://github.com/pnnl/Forte
https://doi.org/10.11578/dc.20231020.3

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Citation Formats

Bhattacharjee, Kaustav, Kundu, Soumya, Vasios, Orestis, Campbell, Allison, and Reiman, Andy. pnnl/Forte. Computer Software. https://github.com/pnnl/Forte. USDOE. 20 Oct. 2023. Web. doi:10.11578/dc.20231020.3.
Bhattacharjee, Kaustav, Kundu, Soumya, Vasios, Orestis, Campbell, Allison, & Reiman, Andy. (2023, October 20). pnnl/Forte. [Computer software]. https://github.com/pnnl/Forte. https://doi.org/10.11578/dc.20231020.3.
Bhattacharjee, Kaustav, Kundu, Soumya, Vasios, Orestis, Campbell, Allison, and Reiman, Andy. "pnnl/Forte." Computer software. October 20, 2023. https://github.com/pnnl/Forte. https://doi.org/10.11578/dc.20231020.3.
@misc{ doecode_114862,
title = {pnnl/Forte},
author = {Bhattacharjee, Kaustav and Kundu, Soumya and Vasios, Orestis and Campbell, Allison and Reiman, Andy},
abstractNote = {Interactive user-interface application for deep probabilistic day-ahead net-load forecasting. This application allows a utility operator and/or other end-user to access through an easy interface the powers of advanced deep AI/ML algorithms for generating day-ahead probabilistic forecast of net-load. Also known as "VRN3P"},
doi = {10.11578/dc.20231020.3},
url = {https://doi.org/10.11578/dc.20231020.3},
howpublished = {[Computer Software] \url{https://doi.org/10.11578/dc.20231020.3}},
year = {2023},
month = {oct}
}