JonasSievers/Mixture-of-Experts-based-Federated-Learning-for-Energy-Forecasting
Source code for our preprint paper "Advancing Accuracy in Load Forecasting using Mixture-ofExperts and Federated Learning".
This project helps energy grid operators and planners create more accurate short-term electricity load forecasts. It takes in historical electricity consumption data and outputs predictions of future energy demand. Energy analysts and smart grid managers would use this to improve grid stability, optimize energy storage, and manage demand response programs more effectively.
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Use this if you need to predict electricity demand with high accuracy while maintaining data privacy across different energy providers or regions.
Not ideal if you are looking for a simple, off-the-shelf forecasting tool that doesn't require deep learning expertise or a federated learning setup.
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Jan 26, 2024
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