Philippine Statistics Authority

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    Date: 2023-12-21 09:08:30.158202

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Multiple Linear Regression for Predicting Electricity Prices using Weather Predictor Variables

Requested from PSA by G. Feliciano at 09:08 AM on Dec 21, 2023.
Purpose: Engineering Data Analysis using MLR
Date of Coverage: 01/01/2020 - 12/19/2023
Tracking no: #PSA-989468077200

Feliciano 09:08 AM, Dec 21, 2023 

Hello, I would like to request the following data (in days & months, 2020-2023) for the following:

- Household Size of City of Sta. Rosa Laguna
- Energy Consumption of the City of Sta. Rosa Laguna

Thank you so much for your attention and participation.

Feliciano 12:32 AM, Dec 22, 2023 

Also, when will be the possible date that I would receive my first request about the household size? or how long it will take.

Lastly, are there any options or ways without contacting any personnel in Meralco to access raw data? If not, is there any other way to contact him besides his contact number? like a google account?

Thank you so much again

Nisperos 02:37 PM, Jan 19, 2024 

January 19, 2024

Dear Gian Carlo Feliciano,

Greetings!

Thank you for your request dated Dec 21, 2023 09:08:30 AM under Executive Order No. 2 (s. 2016) on Freedom of Information in the Executive Branch.

You asked for Multiple Linear Regression for Predicting Electricity Prices using Weather Predictor Variables.

Your FOI request is approved. 

Our apologies for the delayed response. 

In reference to your data request, you may refer to our available published data below: 

(a) Household Size of City of Sta. Rosa Laguna

Census of Population and Housing (CPH)
https://psa.gov.ph/statistics/population-and-housing
https://psa.gov.ph/statistics/population-and-housing/stat-tables
https://psa.gov.ph/statistics/population-and-housing/index
https://psa.gov.ph/publication/census-population-and-housing-report
https://library.psa.gov.ph/cgi-bin/koha/opac-search.pl?q=se,phr:%22CPH%20-%20Census%20of%20Population%20and%20Housing%22

2020 Census of Population and Housing (2020 CPH) Population Counts Declared Official by the President: https://psa.gov.ph/content/2020-census-population-and-housing-2020-cph-population-counts-declared-official-president

Household Population, Number of Households, and Average Household Size of the Philippines (2020 Census of Population and Housing): https://psa.gov.ph/statistics/population-and-housing/node/166426
https://psa.gov.ph/system/files/phcd/2022-12/3_Tables%25201-2_TotPop%252C%2520HHPop%252C%2520HHs%252C%2520and%2520AHS_RML_032122_rev_RRDH_CRD.xlsx

(b) Energy Consumption of the City of Sta. Rosa Laguna

Household Characteristics (2020 Census of Population and Housing): https://psa.gov.ph/statistics/population-and-housing/node/1684059981

Table 3. Households by Fuel for Lighting and Region : Philippines, 2020: https://psa.gov.ph/system/files/phcd/SR_Statistical%20Tables_Household%20Characteristics.xlsx

Household Energy Consumption Survey (HECS) Publications: https://library.psa.gov.ph/cgi-bin/koha/opac-search.pl?q=se,phr:%22Household%20Energy%20Consumption%20Survey%20(HECS).%22

2022 Philippine Statistical Yearbook (PSY) Chapter 14 Energy and Water Resources: https://psa.gov.ph/philippine-statistical-yearbook 
Table 14.1b Energy Consumption By Sector: 2013 to 2021: https://psa.gov.ph/system/files/psy/2022_T14_1b.xlsx 
Table 14.16 Electric Energy Consumption by Sector: 2000 to 2021: https://psa.gov.ph/system/files/psy/2022_T14_16.xlsx

Compendium of Philippine Energy Statistics and Information: https://www.doe.gov.ph/energy-statistics?q=compendium-philippine-energy-statistics-and-information

OpenSTAT: Goal 7. Ensure access to affordable, reliable, sustainable and modern energy for all: https://openstat.psa.gov.ph/PXWeb/pxweb/en/DB/DB__3I__G07/?tablelist=true&rxid=2b92e7ab-d88f-452e-971e-0a4c12685e20 

7.1.1 Proportion of population with access to electricity: https://openstat.psa.gov.ph/PXWeb/pxweb/en/DB/DB__3I__G07/0013I3D0711.px/?rxid=2b92e7ab-d88f-452e-971e-0a4c12685e20

For more specific data on this, you may coordinate with the Department of Energy: https://www.doe.gov.ph/

We would love to hear your Feedback so we can improve our services.  Kindly fill out the PSA Customer feedback form from this link: https://tinyurl.com/OnlineCSSForm.

Thank you.

Respectfully,

Rene C. Mendoza
(Assistant National Statistician)
Officer-in-Charge
Information Technology and Dissemination Service

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