Robert J. Thomas

TL;DR: In this article, the authors present a collection of cases in which the physical laws governing network flows can have anomalous and unexpected market implications, such as reactive power requirements can affect optimal unit commitment and impact real power prices in otherwise competitive markets.

TL;DR: In this paper, a nodal probabilistic production cost simulation method is described for power system long-term expansion planning considering unavailability and delivery limitation constraints of the transmission system.

TL;DR: The new Kettering Energy-Systems Laboratory at Cornell University is described and its functions as a unique electric-power research tool and as an important power-field educational adjunct are discussed as discussed by the authors.

TL;DR: This paper studied both the topological and electrical characteristics of power grid networks based on a number of synthetic and real-world power systems and proposes an algorithm that generates random power grids featuring the same topology and Electrical characteristics found from the real data.

TL;DR: In this article, the associative recall problem is formulated in this way, and conditions on f are developed such that a contraction operator can be developed which solves the given equation, and a specific piecewise linear function is then chosen, and its associative memory is shown to converge rapidly and to have noise rejection properties and some learning capability.