2012-2014 Customer Hourly Electricity Consumption Dataset
#time series forecasting #anomaly detection #energy consumption analysis #smart grid #electricity demand forecasting #energy management
- 500
- 1.5G
- CSV
- CC-BY-NC-SA 4.0
MOBIUSI INC
Updated:2026-03-12
AI Analysis & Value Prop
With the growth of global energy consumption, the electricity industry faces significant challenges in predicting electricity demand and optimizing supply. Existing solutions often rely on historical electricity consumption patterns, but still have shortcomings in accuracy and real-time response. This dataset aims to address the uncertainty in electricity consumption forecasting and meet the needs of smart grid scheduling and energy management. Data collection is primarily conducted through smart meters in normal residential and commercial environments, ensuring that electricity consumption data at different times is recorded. Quality control includes multiple rounds of data validation and expert review to ensure data accuracy and consistency. The annotation team consists of experts in the fields of electrical engineering and data analysis. Data preprocessing steps include timestamp alignment and missing data interpolation using various technical methods. Data is organized in CSV format. All data has undergone structured processing for easy access and analysis.
Technical Specifications
| Field | Type | Description |
|---|---|---|
| file_name | string | File name |
| customer_id | string | Unique identifier for the customer. |
| consumption | float | The amount of electricity consumed by the customer during the specified hour, measured in kilowatt-hours (kWh). |
| measurement_time | datetime | The specific timestamp when the power consumption was recorded. |
| anomaly_flag | boolean | Indicates whether the record represents an anomalous consumption pattern. |
| n | float | Hourly electricity consumption value of customer numbered n, in kilowatt-hours (kWh), with a base consumption ranging from 10 to 2000 kWh, showing reasonable fluctuations with time periods. |
| OT | float | A summary indicator calculated based on the total hourly electricity consumption of all customers (calculation method: total consumption ÷ 150), used to reflect the overall electricity consumption scale, with a value range matching actual electricity usage scenarios. |
| date | date | Specific time of hourly electricity consumption data recording, in the format "YYYY-MM-DD HH:MM:SS", covering the period 2012-2014, used to identify the time dimension of the data. |
Compliance Statement
| Authorization Type | CC-BY-NC-SA 4.0 (Attribution–NonCommercial–ShareAlike) |
| Commercial Use | Requires exclusive subscription or authorization contract (monthly or per-invocation charging) |
| Privacy and Anonymization | No PII, no real company names, simulated scenarios follow industry standards |
| Compliance System | Compliant with China's Data Security Law / EU GDPR / supports enterprise data access logs |
Frequently Asked Questions
- What research fields is this dataset suitable for?
- This dataset is suitable for research in energy management, smart grid analysis, and electricity consumption behavior studies.
- What trends can be studied using this dataset?
- Trends such as seasonal or time-of-day electricity consumption, peak usage periods, and annual consumption changes can be studied using this dataset.
- How can this dataset be used for time series analysis?
- The dataset can be modeled using time series analysis techniques to predict future electricity consumption patterns.
- Is this dataset suitable for training machine learning models?
- Yes, this dataset can be used to train machine learning models to predict consumption trends or identify anomalous consumption behaviors.
- What time series features does this dataset have?
- The dataset includes hourly recorded electricity consumption data, enabling in-depth analysis of temporal evolution features.
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Verified for Enterprise UseCite this Work
@dataset{Mobiusi2026,
title={2012-2014 Customer Hourly Electricity Consumption Dataset},
author={MOBIUSI INC},
year={2026},
url={https://www.mobiusi.com/datasets/c998eb11576166fd45dc96a7baa0b43e?dataset_scene_id=12},
urldate={2026-02-04},
keywords={electricity consumption dataset, time series electricity forecasting, energy management dataset},
version={1.0}
}Using this in research? Please cite us.
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