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Stephen C. Peck

Researcher at Electric Power Research Institute

Publications -  35
Citations -  1707

Stephen C. Peck is an academic researcher from Electric Power Research Institute. The author has contributed to research in topics: Global warming & Value of information. The author has an hindex of 15, co-authored 35 publications receiving 1682 citations.

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A market mechanism for electric power transmission

TL;DR: In this paper, the authors present a new approach to the design of an efficient market mechanism for transmission access that resolves the externalities associated with the loop flow phenomenon in an electric power network, which constitutes a significant barrier to the formation of efficient markets for electricity and transmission services.
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CETA: A Model for Carbon Emissions Trajectory Assessment

TL;DR: In this article, an economic growth and energy use model incorporating representations of greenhouse gas accumulation, global mean temperature rise, and the damage cost associated with this temperature rise is presented, where the authors find optimal time paths of CO, emissions control and associated optimal carbon taxes.
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Global warming uncertainties and the value of information: an analysis using CETA

TL;DR: In this paper, the authors investigate the sensitivity of optimal carbon control strategies to parameters of the Carbon Emissions Trajectory Assessment (CETA) model, and use CETA in a simple decision tree framework to estimate the value of information about global warming uncertainties.
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Optimal carbon emissions trajectories when damages depend on the rate or level of global warming

TL;DR: In this paper, the authors extend their earlier work with the Carbon Emissions Trajectory Assessment model (CETA) to consider a number of issues relating to the nature of optimal carbon emissions trajectories.
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Reliability Management in Competitive Electricity Markets

TL;DR: In this article, the authors examined market design issues for reliability management in competitive power markets, where priority insurance fosters market information for determining efficient system reliability levels and induces system operator to maintain system security efficiently.