all AI news
A Reinforcement Learning Approach to Dairy Farm Battery Management using Q Learning
March 15, 2024, 4:41 a.m. | Nawazish Ali, Abdul Wahid, Rachael Shaw, Karl Mason
cs.LG updates on arXiv.org arxiv.org
Abstract: Dairy farming consumes a significant amount of energy, making it an energy-intensive sector within agriculture. Integrating renewable energy generation into dairy farming could help address this challenge. Effective battery management is important for integrating renewable energy generation. Managing battery charging and discharging poses significant challenges because of fluctuations in electrical consumption, the intermittent nature of renewable energy generation, and fluctuations in energy prices. Artificial Intelligence (AI) has the potential to significantly improve the use of …
abstract agriculture arxiv battery challenge charging cs.ai cs.lg energy farming making management reinforcement reinforcement learning renewable sector type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
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
Director, Clinical Data Science
@ Aura | Remote USA
Research Scientist, AI (PhD)
@ Meta | Menlo Park, CA | New York City