Testing the performance of electricity markets using POWERWEB has already shown that relatively inexperienced players can identify and exploit market power in load pockets. When transmission constraints are not binding, however, auctions with six players have been shown to be efficient. There is evidence from operating electricity markets that prices can be driven above competitive levels when ...

Introduction In posted-offer markets the competitive outcome for a market, defined by the intersection of market supply and market demand curves, is frequently not a Nash equilibrium for the market viewed as a stage game. Rather, one or more sellers often have incentives to deviate unilaterally from the competitive outcome. A simple example illustrates. Consider a market with two sellers, S1 an...

__________________________________________________________________________ Between 1990 and 2002 a wave of takeovers was observed in the North American and European energy utilities market. We analyze the impact of these takeovers on market power, studying 70 takeovers of US-American and 69 takeovers of German energy utilities by applying event study methodology. Stock price reactions of acquir...

An optimal scheduling model for a microgrid participating in the electricity distribution market in interaction with a Distribution Market Operator (DMO) is proposed in this paper. The DMO administers the established electricity market in the distribution level, sets electricity prices, determines the amount of the power exchange among market participants, and interacts with the Independent Sys...

Starting from the 1980’s, the U.S. paper and paperboard industry has recorded an increasing degree of consolidation through mergers and acquisitions. This strategy, combined with voluntary downtime, is adopted by producers as a mean to tackle excess capacity and to reduce costs in order to improve profitability. However, it is unclear whether the rising market concentration resulted in market p...

This project is focused on the design of price forecasting tools for market operators and for market traders, taking into account the distinct purposes, data availability, and time horizons of the distinct users. Empirical price data from the MISO and RTE have been analyzed. A combined model is developed to forecast MISO day-ahead nodal prices. An ARIMA model is constructed to forecast RTE week...