Work

Machine Learning–Adjusted WRF Forecasts to Support Wind Energy Needs in Black Start Operations

Year: 2023

Type: article

Source: Weather and Forecasting

DOI: 10.1175/waf-d-23-0023.1

Authors: Kyle K. Hugeback, William A. Gallus, Hugo N. Villegas Pico

Institution: Iowa State University

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: closed

Funder: U.S. Department of Energy

Award: ORCHESTRATING THE RESTORATION OF WIND-DOMINANT GRIDS FROM BLACKOUTS

OpenAlex ID: W4385847250

FWCI: 0.147

Cites: 28

Cited by: 2

Related to: 10