G.R. Tadiparthi

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The U.S. wholesale power market comprises a large commodity market. The growth in power trading is due to the ongoing deregulation policy of the electric power industry. Most deregulation scenarios indicate a further separation of power production from transmission and retailing. The power production is opened to more competition. Unfortunately, the power(More)
This study documents the practicality of an agent-based approach by examining how two groups of agents handle business complexity related to power trading. Three important findings are identified in this research. First, the proposed approach can estimate fluctuations of electricity prices as well as other well-known methods such as neural networks and(More)
During summer (2000), wholesale electricity prices in California were approximately 500% higher than those during the same months in 1998-1999. The price hike was unexpected by many policy makers and individuals who were involved in the power industry. They have been wondering whether electricity deregulation produces benefits of competition promised to(More)
During the summer (2000), wholesale electricity prices in California were approximately 500% higher than those during the same months in 1998-1999. This study proposes a use of a multi-agent intelligent simulator (MAIS) to numerically examine several reasons regarding why the crisis has occurred during May 2000-Janurary 2001. The MAIS explains the price(More)
The US wholesale power market comprises a large commodity market. The growth in power trading is due to the ongoing deregulation policy of the electric power industry. Most of deregulation scenarios indicate a further separation of power production from transmission and retailing. The power production is opened to more competition. Unfortunately, the power(More)
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