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Jose Francisco

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Master student at Eindhoven University of Technology


 

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23 Apr 2013 Electricity Load and Price Forecasting Webinar Case Study Slides and MATLABĀ® code for the day-ahead system load and price forecasting case study. Author: Ameya Deoras

Dear Ameya,

In order to forecast the electricity price of the day ahead Dutch market I am using neural networks and real data from 2007-2011.
I constructed the X matrix as you said in the webinar for load forecasting and proved with different combinations. The one with gives me the lower MAPE value consists of 8 inputs (Hour dayOfWeek isWorkingDay prevWeekSameHourPrice prevDaySameHourPrice prev24HrAvePrice prevDayNGPrice prevWeekAveNGPrice), but I can't reduce this value more than 11%.

I need to achieve better accuracy but I don't know whar should I change. Could you send me an example of who to forecast the day ahead electricity price? My email is fran90_7@hotmail.com

Thank you in advance.

Kind regards,

Jose Francisco Bolado

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