"Time series"

Assessment of unsupervised standard pattern recognition methods for industrial energy time series

Finding and extracting standard patterns in energy time series is very important to many real-world applications. Hence, there exists a multitude of pattern recognition algorithms with a majority of them being supervised ones. The advantage of …

SCiBER: A new public data set of municipal building consumption

Data about the energy consumption of buildings contains valuable information which is essential for the future energy system and smart cities. However, only few researchers publish the data on which their methods and analysis is based. This lack of …