Abstract
Load forecasting has been a key process in electricity utility companies. While there are demands for utilising data mining to meet the requirements of load forecasting, there are substantial challenges in implementing a big data solution. Cost, expertise and new acquisitions are only some of the reasons that hinder this endeavour. The goal of this paper is to propose an interim load forecasting solution to meet the challenge of using big data, data mining, existing hardware and resource expertise while minimizing the cost and overheads.
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Wee, C.K., Nayak, R. (2018). A Novel Load Forecasting System Leveraging Database Technology. In: Sieminski, A., Kozierkiewicz, A., Nunez, M., Ha, Q. (eds) Modern Approaches for Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 769. Springer, Cham. https://doi.org/10.1007/978-3-319-76081-0_42
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DOI: https://doi.org/10.1007/978-3-319-76081-0_42
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