JonasSievers/Transformer-based-Federated-Learning-for-Load-Forecasting
Source code for our ICCEP paper "Secure short-term load forecasting for smart grids with transformer-based federated learning".
This project helps utility companies and smart grid operators forecast short-term electricity demand accurately, while protecting customer privacy. It takes historical, high-resolution electricity load data from various locations and produces secure, precise predictions of future power consumption. Energy managers and grid planners are the primary users.
No commits in the last 6 months.
Use this if you need to predict electricity load in a smart grid environment but are concerned about the privacy of your users' consumption data.
Not ideal if you are looking for long-term load forecasting or if data privacy is not a significant concern for your prediction task.
Stars
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4
Language
PureBasic
License
MIT
Category
Last pushed
Nov 14, 2023
Commits (30d)
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