Wattnest has partnered with the University of California, Santa Cruz to advance research in load-shifting technology. This collaboration brings together industry expertise and academic research to develop innovative solutions for energy optimization.
Our joint research focuses on developing advanced algorithms for real-time load-shifting in electric water heaters. The team at UCSC's Energy Systems Laboratory has contributed valuable insights into machine learning approaches for predicting energy consumption patterns and optimizing load distribution.
The implementation combines Wattnest's proprietary load-shifting algorithms with UCSC's research on energy consumption patterns. Key technical components include:
Initial results from the partnership have shown significant improvements in energy efficiency:
The partnership continues to explore new avenues for energy optimization, including:
