Chen-Ching Liu

TL;DR: In this paper, a statistical study of direct and cross hedging strategies using futures contracts in an electricity market is presented, and a comparison of the strategies is based on the standard deviation or risk of the values of the hedging positions.

TL;DR: In this article, a method of reinforcement learning with temporal differences is proposed to avoid catastrophic failures in interconnected power systems using a defeusive system based on multi-agent system technologies, where agents automatically adjust their decision criteria.

TL;DR: In this paper, a knowledge-based system (KBS) for power system restoration is presented, where an extensive list of critical constraints and parameters is identified. And a goal-driven strategy for system restoration was developed.

TL;DR: In this article, the state of the art of vulnerability assessment methods in the context of cascading failures is reviewed, and the impact of emerging technologies including phasor technology, high-performance computing techniques, and visualization techniques on the vulnerability assessment of power grid failures is addressed, and future research directions are presented.

TL;DR: This paper provides a novel method dealing with non-Gaussian random variables in wind farm decision making as a chance-constrained economic dispatch problem that can be solved as a deterministic linear convex optimization with a global optimal solution.