energy consumption; smart meters; load forecasting;
This dataset includes the original IAWE, REDD, and UKDALE datasets, as well as the pre-processed tensor data used in the research paper. The files with the .h5 extension are the original datasets, while the .npy files are the tensorized data used in the paper.
The IAWE dataset is a high-resolution energy consumption dataset collected from a single household in India, recorded at a 1-second interval. It includes data on various appliances such as air conditioners, refrigerators, and lighting systems, making it particularly useful for studying load patterns in developing countries.
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The presented dataset is a hybrid solution between the simulated datasets and the ones based on real data. Furthermore, the main advantages and uniquenesses of the proposed work are: i) data variability, in terms of the operating states of the electrical loads and the adoption of appropriate consumption models; ii) the total number of available electrical parameters (433 in our case) enormously larger than the above-cited datasets, as the full analysis of frequency behaviors and harmonic computations; iii) the seasonality of the data.
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