In this paper the problem of modeling electricity price dynamics in deregulated energy markets is studied. Since the nature of customers' energy consumption, market participants' strategic behavior and the power system reliability indices are stochastic processes, the electricity price model will be stochastic as well. In our analysis the price of electricity is modeled based on the customers' ...

The European Emissions Trading Scheme (ETS) limits CO2 emissions from covered sectors, especially electricity until December 2007, after which a new set of Allowances will be issued. The paper demonstrates that the impact of controlling the quantity rather than the price of carbon is to reduce the elasticity of demand for gas, amplifying the market power of gas suppliers, and also amplifying th...

The authors present an analytical model of a irst-price sealed-bid cattle auction in which a spot and coordinated markets are interconnected. The model reveals that the conventional wisdom that market coordination negatively affects the bid price in the spot market is an oversimpli ication. The relationships between key market variables impact bids and bid shading in complex ways. While captive...

We investigate the dealer model – an artificial market model based on deterministic agents both numerically and theoretically. The agents refer to the past market prices and changes their ask/bid price. The temporal development of the market price fluctuations is calculated numerically. A probability density function of the market price changes has power law tails. Autocorrelation coefficient o...

While effective competition can force service providers to seek economically efficient methods to reduce costs, the deregulated electricity supply industry still allows some generators to exercise market power at particular locations, thereby preventing the deregulated power market to be perfectly competitive. In this paper, we investigate the interdependence of pricing mechanisms and strategy ...

This paper presents an hour-ahead System Marginal Price (SMP) forecasting framework based on a neural network. Recently, the deregulation in power industries has impacted on the power system operational problems. The bidding strategies in energy market among market participants are highly dependent on the short-term price levels. Therefore, short-term SMP forecasting is a very important issue t...

We proposed an artificial market model based on deterministic agents which select their action depending on past price changes. Temporal development of market price fluctuations is calculated numerically. Probability density functions of market price changes have power tails. Autocorrelation coefficient of the changes has an anti-correlation, and autocorrelation coefficient of squared changes (...

This paper discusses the assessment and visualization of market power in bulk electricity markets, with the explicit consideration of transmission system constraints. In general, market power is the ability of a particular seller or group of sellers to maintain prices profitably above competitive levels for a significant period of time. When an entity has and exercises market power, it ceases t...