Abstract
Short term electric power load is an essential task for successful energy trading, smooth operation and planning of transmission and distribution networks. Accurate electrical energy price forecasting is required for successful energy trading. Many deep learning based approaches are using for the accurate forecasting of load and price. Even consider the most popular deep learning model also some times not able to forecast the load and price accurately if it is trained with bad data. So, more focus is required on data preparation. In this paper, active power load dataset and electrical energy price datasets are presented along with various statistical features and other data pre-processing techniques. To prepare the active power load dataset and electrical energy price dataset, practical hourly load and price data is collected from Indian Energy Exchange (IEX) for the period between 01-01-2021 and 31-08-2023.
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Acknowledgements
This research work was supported by “Woosong University’s Academic Research Funding-2024”.
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Veeramsetty, V., Nikitha, B., Siddartha, T., Salkuti, S.R. (2024). Active Power Load and Electrical Energy Price Datasets for Load and Price Forecasting. In: Salkuti, S.R. (eds) Energy and Environmental Aspects of Emerging Technologies for Smart Grid. Green Energy and Technology. Springer, Cham. https://doi.org/10.1007/978-3-031-18389-8_28
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DOI: https://doi.org/10.1007/978-3-031-18389-8_28
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