High-Resolution Peak Demand Estimation Using Generalized Additive Models and Deep Neural Networks
利用广义加性模型与深度神经网络估计高分辨率用电峰值
This paper covers predicting high-resolution electricity peak demand features given lower-resolution data. This is a relevant setup as it answers whether limited higher-resolution monitoring helps to estimate future high-resolution peak loads when the high-resolution data is no longer available. That question is particularly interesting for network operators considering replacing high-resolution monitoring predictive models due to economic considerations. We propose models…