Energy Applications of Extreme Learning Machines
Extreme Learning Machines for Energy Applications
Energy applications are a fascinating source of prediction and other problems that exhibit nonlinearities, time delays, and nonstationary statistics. This makes them an ideal testbed for Extreme Learning Machines approaches. Some illustrative examples are reviewed, and some novel regulation approaches to condition data for ELM are also discussed.
D. C. Wunsch, "Energy Applications of Extreme Learning Machines," Proceedings of The International Conference on Extreme Learning Machines, ELM2016 (2016: Dec. 13-15, Marina Bay Sands, Singapore), Dec 2016.
The International Conference on Extreme Learning Machines, ELM2016 (2016: Dec. 13-15, Marina Bay Sands, Singapore)
Electrical and Computer Engineering
Center for High Performance Computing Research
Article - Conference proceedings
01 Dec 2016