Monthly electricity supply by sector.
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The Malaysian electrical grid is managed by Tenaga Nasional Berhad (for Peninsular Malaysia), Sabah Electricity Sdn. Bhd., and Sarawak Energy Berhad. Independent power producers also supply electricity. This dataset includes monthly electricity supply data categorized by sector, compiled from the operational records of these providers.
Data for the most recent 6 months is provisional and subject to revision in future updates.
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Monthly electricity supply by sector.
Name in Dataset | Variable | Definition |
---|---|---|
date (Date) | Date | The date in YYYY-MM-DD format, with DD set to 01 as the data is at monthly frequency. |
sector (Categorical) | Sector | All sectors ('total'), local ('local') with breakdown into public (local_public') and private ('local_private') installations, imports ('imports'), or distribution ('distribution'). |
supply (Float) | Electricity Supply | Amount of electricity supplied in millions of kilowatt-hours (MKWh). |
01 Sept 2024, 12:00
01 Oct 2024, 12:00
This data is made open under the Creative Commons Attribution 4.0 International License (CC BY 4.0). A copy of the license is available Here.
Full Dataset (CSV)
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Full Dataset (Parquet)
Recommended for data scientists seeking to work with data via code.
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Connect directly to the data with Python.
# If not already installed, do: pip install pandas fastparquet
import pandas as pd
URL_DATA = 'https://storage.data.gov.my/energy/electricity_supply.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)
The following code is an example of how to make an API query to retrieve the data catalogue mentioned above. You can use different programming languages by switching the code accordingly. For a complete guide on possible query parameters and syntax, please refer to the official Open API Documentation.
import requests
import pprint
url = "https://api.data.gov.my/data-catalogue?id=electricity_supply&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
Department of Statistics Malaysia
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