H
Hung-po Chao
Researcher at ISO New England
Publications - 11
Citations - 749
Hung-po Chao is an academic researcher from ISO New England. The author has contributed to research in topics: Piecewise linear function & Order (business). The author has an hindex of 9, co-authored 11 publications receiving 712 citations. Previous affiliations of Hung-po Chao include Stanford University.
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Priority Service: Pricing, Investment, and Market Organization
Hung-po Chao,Robert Wilson +1 more
TL;DR: In this article, the seller rations supplies by serving customers in order of their selected priorities until the supply is exhausted or all customers are served, depending on the customer's selection of one contract from the menu.
Journal ArticleDOI
Flow-Based Transmission Rights and Congestion Management
TL;DR: Combining the advantages of financial and physical rights, a flow-based transmission reservation approach facilitates liquidity and efficient risk management as mentioned in this paper. But, it is not suitable for large-scale networks.
Journal ArticleDOI
Multilevel demand subscription pricing for electric power
TL;DR: In this paper, a general demand subscription pricing policy for electric power service is investigated, where a menu of service contracts for assigning different interruption probabilities and prices to different load levels is used.
Book ChapterDOI
Reevaluation of Vertical Integration and Unbundling in Restructured Electricity Markets
TL;DR: In this paper, the authors review the argument for vertical integration in the electricity industry and conclude that neither view is conclusive that pros and cons can be mustered on either side without any clear indication that one or the other extreme is better.
Journal ArticleDOI
Oil Stockpiles and Import Reductions: A Dynamic Programming Approach
Hung-po Chao,Alan S. Manne +1 more
TL;DR: This paper analyzes oil stockpiling policies using models in which U.S. policy choices are restricted to just two instruments-stockpiles and disruption "tariffs" and develops a probabilistic view of disruptions analyzed by applying dynamic programming.