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 ...

Abstract: Traditional electrical load forecasting often relies on macro approaches to analyzing historical data (time series) and energy consumption patterns (sectoral), which do not account for ...

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 ...