Abstract
The main goal of this work is to show the application of an econometric model called Logistic Regression (LR) in a study of the bidding prices in the Colombian electricity market. The LR model is used to calculate the statistical significance of some variables of the market and the influence of changes in these variables on the estimated bidding price of Generation Companies GENCOs. The methodology is used to fit the bidding prices behavior of a hydraulic agent considering some exogenous variables such as: hydrological conditions, energy demand, spot prices and competitors behavior. The model obtained with LR shows a good agreement with the real data.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
