Abstract: A system and method of detecting energy consumption anomaly, including: receiving an energy consumption data of an energy usage system of a building; analyzing the received energy consumption data of the energy usage system of the building using a Multi-Seasonal-series using Loess (MSTL) decomposition, including: analyzing the energy consumption data of the energy usage system by breaking down the energy consumption data into frequency components, and identifying an energy usage of the building, wherein the analyzing of the received energy consumption data further includes: receiving the time-series energy consumption data of the energy system, and analyzing the received time-series energy consumption data using the MSTL decomposition by separating the received time-series energy consumption data into frequency components, graphically displaying the frequency components on a display; identifying patterns and trends from the graphically displayed frequency component; and determining a target value for a non-op

Abstract: An automated method for managing weather related energy usage in a physical structure having and address using preexisting smart meters, preexisting weather stations and preexisting energy portals and with a dynamic energy model connected to a network.