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    Date: 2023-12-22 12:53:17.081094

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    Date: 2023-12-27 07:35:34.764182

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Predicting Electricity Prices Using Multiple Linear Regression

Requested from DOE by L. Guevarra at 12:53 PM on Dec 22, 2023.
Purpose: Research in Engineering Data Analysis
Date of Coverage: 01/01/2020 - 12/19/2023
Tracking no: #DOE-973613644851

Guevarra 12:53 PM, Dec 22, 2023 

Hi! I would like to request information regarding the following:

1.)	Electricity Demand and Supply in Santa Rosa City, Laguna


December 27, 2023

Dear Citizen,

Greetings!

Thank you for your request dated Dec 22, 2023 under Executive Order No. 2 (s. 2016) on Freedom of Information in the Executive Branch.

You asked for Predicting Electricity Prices Using Multiple Linear Regression.

While our aim is to provide information whenever possible, in this instance this Office does not have the information you have requested. However, you may wish to contact Mr. Ronnie L. Aperocho, Executive Vice President & COO of Manila Electric Company (MERALCO) at telephone nos. 632-8273; 622-3666, and/or email at garellores@meralco.com.ph, rcdbuenafe@meralco.com.ph, kacperez@meralco.com.ph,
vgvallesteros@meralco.com.ph, matdelumen@meralco.com.ph

For further assistance you may review the FAQ section of the eFOI site: https://www.foi.gov.ph/help.

If you are unhappy with this response to your FOI request, you may ask us to carry out an internal review of the response by writing to Secretary Raphael P. M. Lotilla at rlotilla@doe.gov.ph. Your review request should explain why you are dissatisfied with this response, and should be made within 15 calendar days from the date when you received this letter. We will complete the review and tell you the result within 30 calendar days from the date when we receive your review request.

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Thank you.

Respectfully,

Joyanne Faye S. Angeles-Reyes
Alternate FOI Receiving Officer
DOE - Records Management Division

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