论文信息 - Putting more brain-like intelligence into the electric power grid: What we need and how to do it

Putting more brain-like intelligence into the electric power grid: What we need and how to do it

Certain key features of brain-like intelligence are essential to fulfill the main goals of policy-makers and environmentalists for the “smart grid” - a key item in the new economic stimulus law, and a key item in a rational strategy for energy sustainability. This paper will explain why and how, and how the neural network community could play a crucial role in making this real.

Paul J. Werbos | P. Werbos

[1] Paul J. Werbos,et al. 2009 Special Issue: Intelligence in the brain: A theory of how it works and how to build it , 2009 .

[2] E. Rowland. Theory of Games and Economic Behavior , 1946, Nature.

[3] Andrew R. Barron,et al. Universal approximation bounds for superpositions of a sigmoidal function , 1993, IEEE Trans. Inf. Theory.

[4] Robert Kozma,et al. Beyond Feedforward Models Trained by Backpropagation: A Practical Training Tool for a More Efficient Universal Approximator , 2007, IEEE Transactions on Neural Networks.

[5] Jim Esch,et al. A Self-Learning Evolutionary Chess Program , 2004, Proc. IEEE.

[6] J. Neumann,et al. Theory of games and economic behavior , 1945, 100 Years of Math Milestones.

[7] P. Werbos. Technological Solutions for Energy Security and Sustainability , 2008 .

[8] J. Momoh. Electric Power System Applications of Optimization , 2000 .

[9] B.F. Wollenberg,et al. Toward a smart grid: power delivery for the 21st century , 2005, IEEE Power and Energy Magazine.