Monthly Electricity Consumption
Data as of 30 Sept 2024, 23:59Monthly electricity consumption by sector.
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How is this data produced?
In Malaysia, the electrical grid is operated by various parties, primarily Tenaga Nasional Berhad (for Peninsular Malaysia), Sabah Electricity Sdn. Bhd., and Sarawak Energy Berhad. Independent power producers also contribute to the grid. This dataset is tabulated from the operational records of these providers, and shows monthly electricity consumption in Malaysia, categorized by the sector in which it is consumed.
What caveats I should bear in mind when using this data?
Data for the most recent 6 months is still provisional and may be revised in future updates.
Publication(s) using this data
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Metadata
Dataset description
Monthly electricity consumption by sector.
Variable definitions
- Date
- Sector
- Electricity Consumption
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 breakdowns into commercial ('local_commercial') and domestic ('local_domestic') use, exports ('exports'), or losses ('losses'). Commercial usage includes the industrial and mining sectors, while domestic usage includes public lighting. |
consumption (Float) | Electricity Consumption | Amount of electricity consumed in millions of kilowatt-hours (MKWh) |
Last updated:
01 Sept 2024, 12:00
Next update:
01 Oct 2024, 12:00
Data source(s)
- Tenaga Nasional Berhad
- Sabah Electricity Sdn. Bhd.
- Sarawak Energy Berhad
- Energy Commission of Malaysia
- Department of Statistics Malaysia
URLs to dataset
License
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.
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Data
Full Dataset (CSV)
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Full Dataset (Parquet)
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Code
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_consumption.parquet'
df = pd.read_parquet(URL_DATA)
if 'date' in df.columns: df['date'] = pd.to_datetime(df['date'])
print(df)Sample OpenAPI query
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_consumption&limit=3"
response_json = requests.get(url=url).json()
pprint.pprint(response_json)
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