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Open Source Science

https://github.com/cosbidev/matnet

Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting

https://github.com/cosbidev/matnet

Science Score: 10.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • ○
    CITATION.cff file
  • ○
    codemeta.json file
  • ○
    .zenodo.json file
  • ○
    DOI references
  • ✓
    Academic publication links
    Links to: arxiv.org
  • ○
    Committers with academic emails
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (5.3%) to scientific vocabulary

Keywords

forecasting pv-generation pytorch self-attention time-series transformer
Last synced: 5 months ago · JSON representation

Repository

Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting

Basic Info
  • Host: GitHub
  • Owner: cosbidev
  • License: mit
  • Language: Python
  • Default Branch: main
  • Homepage:
  • Size: 82.3 MB
Statistics
  • Stars: 9
  • Watchers: 1
  • Forks: 4
  • Open Issues: 0
  • Releases: 0
Topics
forecasting pv-generation pytorch self-attention time-series transformer
Created almost 3 years ago · Last pushed almost 2 years ago
Metadata Files
Readme License

README.md

MATNet

Multi-Level Fusion and Self-Attention Transformer-Based Model for Multivariate Multi-Step Day-Ahead PV Generation Forecasting

Contact

For questions and comments, feel free to contact me: m.tortora@unicampus.it

Citation

If you use our code in your study, please cite as:

Tortora, M., Conte, F., Natrella, G., & Soda, P. (2023). MATNet: Multi-Level Fusion Transformer-Based Model for Day-Ahead PV Generation Forecasting.

License

MATNet is distributed under a MIT Licence.

Owner

  • Name: CoSBi.dev
  • Login: cosbidev
  • Kind: organization
  • Location: Università Campus Bio-Medico di Roma

GitHub Events

Total
  • Watch event: 5
  • Fork event: 1
Last Year
  • Watch event: 5
  • Fork event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 23
  • Total Committers: 1
  • Avg Commits per committer: 23.0
  • Development Distribution Score (DDS): 0.0
Past Year
  • Commits: 23
  • Committers: 1
  • Avg Commits per committer: 23.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
Matteo Tortora m****a@g****m 23

Issues and Pull Requests

Last synced: about 1 year ago

All Time
  • Total issues: 0
  • Total pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Total issue authors: 0
  • Total pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
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