Abstract: In a method and system for analyzing and predicting bidding of electric power generation, bid data is collected for a selected region. The bid data is preprocessed to decode the identity of the bidding entities and/or to remove erroneous or noisy data. External information, such as fuel prices, weather data, and/or generator outage data, is also collected. A bid prediction model is generated for one or more of the bidding entities from the bid data and the external information. External information is subsequently received, and the bid prediction model is applied to that current external information to predict future bids for one or more of the bidding entities. The predicted future bids are then reported.