A data-driven approach for generating load profiles based on InfoGAN and MKDE
Jian Lan,
Yanzhen Zhou,
Qinglai Guo
et al.
Abstract:High-quality demand-side management requires an abundance of load profiles to support decision-making processes. However, customer energy consumption data often contains sensitive personal information, and service providers face significant challenges in accessing a substantial amount of energy consumption data. To generate a large volume of customer data without compromising privacy, this study introduces a data-driven approach integrating Information Maximizing Generative Adversarial Networks (InfoGAN) with … Show more
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