Feb. 20, 2024, 5:41 a.m. | Oscar Trull, J. Carlos Garc\'ia-D\'iaz, Angel Peir\'o-Signes

cs.LG updates on arXiv.org arxiv.org

arXiv:2402.10982v1 Announce Type: new
Abstract: Transmission system operators have a growing need for more accurate forecasting of electricity demand. Current electricity systems largely require demand forecasting so that the electricity market establishes electricity prices as well as the programming of production units. The companies that are part of the electrical system use exclusive software to obtain predictions, based on the use of time series and prediction tools, whether statistical or artificial intelligence. However, the most common form of prediction is …

abstract accurate forecasting arxiv companies cs.lg current demand demand forecasting econ.em electricity forecasting library multiple operators production programming stat.ap systems type units

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

#13721 - Data Engineer - AI Model Testing

@ Qualitest | Miami, Florida, United States

Elasticsearch Administrator

@ ManTech | 201BF - Customer Site, Chantilly, VA