Worldwide Electricity Load Dataset

Description

This dataset provides a comprehensive, global-scale collection of time-series electricity load data aggregated from major power markets across Asia, Europe, North America, and Oceania. It captures system-level demand profiles at a consistent temporal resolution, enabling detailed analysis of consumption patterns, peak-demand behavior, and seasonal variability across diverse climatic, socioeconomic, and regulatory environments. The dataset is structured in a standardized and harmonized format, with uniform timestamps, metadata, and units, to facilitate seamless integration into analytical pipelines. It supports a wide range of applications, including short- and long-term load forecasting, cross-market comparative studies, benchmarking of forecasting algorithms, and data-driven research in power system planning, operation, and energy market analytics. By providing long historical records with broad geographic coverage, the dataset enables reproducible research and systematic evaluation of regional differences in electricity demand dynamics. The dataset provides structured electricity price data for 36 countries (including the USA, Canada, Singapore, Australia, Japan, Norway, Denmark, Sweden, Italy, and others), organized in a folder-based hierarchy. It covers most major electricity markets in the USA, including CAISO, ERCOT, ISO New England, MISO, NYISO, PJM, and SPP, and major European electricity markets represented within ENTSO‑E, including Nord Pool (Nordic region), EPEX SPOT (Central Western Europe), MIBEL (Spain–Portugal), the Italian electricity market, and other interconnected day‑ahead markets, besides IESO in Canada and AEMO in Australia. In this dataset, each country has its own folder containing multiple CSV files, each representing year-wise electricity price data. Additionally, the parent folder contains an Additional_Information.csv file that specifies the load unit (e.g., MW) used for the country's data. The dataset is particularly useful for energy economists, data scientists, and policy analysts studying load patterns in global electricity markets. The dataset is organized into two distinct structural categories for its CSV files. The first category, which applies to most markets, comprises files with two columns: the first, labeled timestamp, and the second, representing the load for the entire country or market platform. The second category is designed for markets divided into multiple hubs, nodes, or load zones. In this case, each file contains N+1 columns, where N denotes the number of zones within the respective electricity market. The first column always corresponds to the timestamp, while the remaining N columns provide price data for each zone.

Institutions

• Penn State Harrisburg

  PA, Middletown
• Penn State Hazleton

  PA, Hazleton
• Prairie View A&M University

  TX, Prairie View
• University of Oulu Centre of Excellence in Cell-Extracellular Matrix Research

  Pohjois-⁠Pohjanmaa, Oulu
• Tikrit University

  Saladin, Tikrit

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