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 ...
IEEE

Threshold-Free Event Detection for Nonintrusive Load Monitoring Using Motif Difference Field Images and Convolutional Neural Networks

Abstract: Event detection is a critical process in non-intrusive load monitoring (NILM). Accurate detection enhances subsequent load identification and facilitates a prompt understanding of the system ...
GitHub

⚙️ codesettings.nvim

Easily read your project's local settings files and merge them into your Neovim 0.11+ native LSP configuration. This plugin makes it easy to reuse settings your team already committed to version ...
GitHub

README.md

Let's open up this JSON file. You might want to reformat this document so it doesn't have so much whitespace. Use the "Compress current JSON file" plugin command ...