Neural Information Processing Systems / Cambridge University Press / Neural Networks / Industrial Electronics / National Renewable Energy Laboratory / Intelligent Robotics Systems / Alternate Power Technologies Inc. / Algorithm 1 Trust / Artificial Intelligence Laboratory / /
Country
United States / /
Currency
USD / / /
Facility
Massaschusetts Institute of Technology / /
IndustryTerm
software system / energy demand / energy review / energy outlook / wind energy / wind-energy conversion applications / online learning method / recurrent multilayer networks / trust region policy search approach / least-squares solution / online policy optimization / statistical graident-follwoing algorithms / proposed trust region policy search method / energy sustainability / renewable energy / real and simulated systems / Online Parameter Optimization / policy search method / exhaustive search / policy search methods / turbine software architecture / trust region policy search method optimizing power / energy / electricity / policy search procedure / near-optimal energy extraction / electricity generation / reinforcement learning algorithms / simulation tool / basic software architecture / approximate solution / policy search / online learning algorithm / wind turbine energy capture ssing multi-variable extremum / industry standard tool / turbine energy capture ssing multi-variable extremum seeking control / improved energy capture / energy output / software architecture / power monitoring hardware / physical systems / online policy search method / integrating the policy search / /
Organization
Cambridge University / U.S. Department of Energy / National Science Foundation / U.S. Energy Information Administration / US Federal Reserve / Institute of Technology / American Society of Mechanical Engineers / /
Person
Zachary Jackowski / Ron Wiken / Morgan Quigley / R. J. Williams / Russ Tedrake / Paul Stearns / Jason Jonkman / Marshall Buhl / /
Design, Analysis, and Learning Control of a Fully Actuated Micro Wind Turbine J. Zico Kolter, Zachary Jackowski, Russ Tedrake* Abstract— Wind power represents one of the most promising sources of renewable energy, and