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Date: Dec. 28, 2023, 5:29 p.m.

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Date: 2024-01-03 08:38:37.000000

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Predicting Sta. Rosa's Solar Energy Potential with Multiple Linear Regression

Published by Department of Energy(DOE) on Dec. 28, 2023.
Requested from DOE by G. Feliciano at 05:29 PM on Dec. 28, 2023.
Purpose: EDA Thesis
Date of Coverage: 12/01/2021 - 12/01/2023
Tracking no: #DOE-537616994416

G.FELICIANO Dec. 28, 2023, 5:29 p.m.

Hi, I would like to request the following information: - Date: December 1, 2021 - December 1, 2023 1.) Daily Solar Irradiance (in kilowatt-hours per square meter) 2.) Wind Speed at Turbine Height (in meters per second) 3.) Daily Average Temperature (in degrees Celsius) 4.) Cloud Cover (as a percentage) 5.) Average Humidity (as a percentage) 6.) Atmospheric Pressure (in Pascal) 7.) Renewable Energy Output (in Megawatt-hours) Thank You!

G.FELICIANO Dec. 28, 2023, 5:29 p.m.

The Renewable Energy Output should be: Estimated Daily Solar Energy Output (in megawatt-hours)

R.DIVISION Jan. 3, 2024, 8:38 a.m.

January 3, 2024 Dear Gian Carlo, I refer to my letter of Dec 28, 2023 05:29:04 PM about your request under Executive Order No. 2 (s. 2016) on Freedom of Information in the Executive Branch, for Predicting Sta. Rosa's Solar Energy Potential with Multiple Linear Regression. In order for us to work further on your request, we need your reply in the email we sent today, January 3, 2024. During the period of us awaiting your reply, your request will be put on hold. If we do not receive a reply on or before Mar 27, 2024 12:37:10 AM, your request will be closed. We hope to hear from you at the soonest possible time. Thank you. Respectfully, Joyanne Faye S. Angeles-Reyes Alternate FOI Receiving Officer DOE - Records Management Division

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