IEEE

Impact of Normalization Techniques on Synthetic Load Profile Generation Using Deep Generative Models

Abstract: Synthetic load profiles are increasingly employed in power system studies as a cost-effective and privacy-preserving alternative to extensive smart meter deployments, with deep generative ...
GitHub

Fast State-of-the-Art Static Embeddings

You can start using Model2Vec by loading one of our flagship models from the HuggingFace hub. These models are pre-trained and ready to use. The following code snippet shows how to load a model and ...
IEEE

Mid-Term Load Forecasting with Minimal Data: An In-Context-Learning-Aware Approach Using Large Language Models

Abstract: Accurate mid-term load forecasting at the building level is vital for the strategic planning, operation, and sustainability of modern power systems. Machine learning approaches often require ...