Abstract: Some embodiments relate to a method of managing thermal anomalies in an environment is described. A deep learning system is trained to identify thermal anomalies from recorded environment parameter data. A Bayesian network is also trained to identify relationships between environment parameters, and the identified relationships are used to develop a causal explanation hierarchy. Using these trained systems, environment parameters are measured first to identify a thermal anomaly, and on identification of a thermal anomaly, and then to provide a causal explanation hierarchy for the thermal anomaly. This enables a real-world intervention to address the thermal anomaly. A suitable system to perform this method is also described.

Abstract: Some embodiments relate to a method for determining an internal temperature of a battery. The method includes obtaining an initial temperature condition of the battery indicative of battery temperature at an initial time, receiving an electrical current in the battery at a given time after the initial time, and receiving an ambient temperature associated with the battery at the given time. The method includes determining a heat generation rate in the battery based on an internal resistance of the battery and on the received current, and determining a temperature change of the battery at the given time from the initial time, the temperature change being determined based on the initial temperature condition and the heat generation rate. The internal temperature of the battery is determined based on the determined temperature change and the ambient temperature.

Abstract: Methods, devices and systems for detecting an anomaly in a power network are described. A method for detecting an anomaly in a power network includes determining a baseline power usage in the power network, receiving data indicative of an active power usage in the power network, detecting an anomaly based on a difference between the baseline power usage and the active power usage, isolating a fault for an element in the power network, responsive to detecting the anomaly, and transmitting fault isolation information indicating the fault to a user device. Related devices and systems may perform operations of the method described herein.

Abstract: Methods, devices and systems for detecting an anomaly in a power network are described. A method for detecting an anomaly in a power network includes determining a baseline power usage in the power network, receiving data indicative of an active power usage in the power network, detecting an anomaly based on a difference between the baseline power usage and the active power usage, isolating a fault for an element in the power network, responsive to detecting the anomaly, and transmitting fault isolation information indicating the fault to a user device. Related devices and systems may perform operations of the method described herein.

Abstract: Methods, devices and systems for detecting an anomaly in a power network are described. A method for detecting an anomaly in a power network includes determining a baseline power usage in the power network, receiving data indicative of an active power usage in the power network, detecting an anomaly based on a difference between the baseline power usage and the active power usage, isolating a fault for an element in the power network, responsive to detecting the anomaly, and transmitting fault isolation information indicating the fault to a user device. Related devices and systems may perform operations of the method described herein.

Abstract: Methods, devices and systems for detecting an anomaly in a power network are described. A method for detecting an anomaly in a power network includes determining a baseline power usage in the power network, receiving data indicative of an active power usage in the power network, detecting an anomaly based on a difference between the baseline power usage and the active power usage, isolating a fault for an element in the power network, responsive to detecting the anomaly, and transmitting fault isolation information indicating the fault to a user device. Related devices and systems may perform operations of the method described herein.