Non technical losses (NTLs) are a major problem faced by DSOs all over the world.
Traditional meter inspection techniques are not effective in detecting NTL, while the wide …

Extreme weather events are occurring more frequently as a result of climate change. In
October 2019, eastern Japan was hit by Hagibis, a large and high-speed typhoon. This …

We propose a novel class of dynamic shrinkage processes for Bayesian time series and
regression analysis. Building on a global–local framework of prior construction, in which …

Commercial buildings during operation are dynamic environments where changes to control
strategies and space usage regularly occur. As a result of these and other issues, a …

Blood transfusion is one of the most crucial and commonly administered therapeutics
worldwide. The need for more accurate and efficient ways to manage blood demand and …

As a powerful architecture for large-scale computation, cloud computing has revolutionized
the way that computing infrastructure is abstracted and utilized. Coupled with the challenges …

Feature engineering and data-driven classification models are at the forefront of analysis of
large temporal sensor data from the built environment. In previous efforts, temporal features …

We use the internal trading records of a major Bitcoin exchange leaked by hackers to detect
and characterize wash trading—a type of market manipulation in which a single trader …

How competition affects product quality and how product quality choices impact firms'
operating performance are open empirical questions. We use a setting that is especially …

This article presents dcor, an open-source Python package dedicated to distance correlation
and other statistics related to energy distance. These energy statistics include distances …