A system for monitoring electric energy amount according to one embodiment of the present disclosure includes an electric energy system including one or more loads receiving electric energy through an external electric energy source and a renewable energy generator, a home server for receiving information of a first electric energy amount that is an electric energy amount consumed by the one or more loads, a second electric energy amount that is supplied from the external electric energy source to the electric energy system, and a third electric energy amount that is supplied from the renewable energy generator to the electric energy system, and an electric energy amount monitoring server calculating the second electric energy amount or the third electric energy amount from electric energy consumption of the electric energy system, which is received from the home server, and supply electric energy amount information supplied to the electric energy system.

A system for detecting theft of electricity from a utility includes a controller configured to receive electricity readings from a metering device configured to sense electricity flowing therethrough to a primary load, disaggregate the electricity readings from the metering device into electricity readings for sub-loads identified within the primary load, and compare the disaggregated electricity readings for the identified sub-loads to expected electricity readings for each identified sub-load. The controller is also configured to calculate a level of interference with an electrical path through the metering device based on an extent that the disaggregated electricity readings deviate from the expected electricity readings and output to the utility the level of interference with the electrical path.

Activity sensing in the home has a variety of important applications, including healthcare, entertainment, home automation, energy monitoring and post-occupancy research studies. Many existing systems for detecting occupant activity require large numbers of sensors, invasive vision systems, or extensive installation procedures. Disclosed is an approach that uses a single plug-in sensor to detect a variety of electrical events throughout the home. This sensor detects the electrical noise on residential power tines created by the abrupt switching of electrical devices and the noise created by certain devices while in operation. Machine learning techniques are used to recognize electrically noisy events such as turning on or off a particular light switch, a television set, or an electric stove. The system has been tested to evaluate system performance over time and in different types of houses. Results indicate that various electrical events can be learned and classified with accuracies ranging from 85-90%.

The present disclosure provides systems and methods for monitoring power consumption of individual devices on an electric power system. A monitoring system may identify unique power characteristics of each device. The monitoring system may use the identified unique power characteristics to disaggregate electric data representative of the power consumption of all of the devices on the electric power system into portions associated with each device.

A water supply monitoring system in connection with a supply line includes a fluid sensor configured to identify flow rate data identifying a flow rate of water through the supply line. A controller is configured to receive the flow rate data from the fluid sensor and compare the flow rate data over time to a plurality of flow rate models. The flow rate models define flow rate characteristics of a plurality of preconfigured water implements. The controller is further configured to classify a water consumption identified by the flow rate data as being consumed by a plurality of consumption implements in connection with the supply line in a plurality of consumption classifications.

Disclosed embodiments relate to a power monitoring system. In some embodiments, the power monitoring system includes: a sampling device configured to measure patterns of energy consumed by loads included in the power system; an electric meter configured to measure an amount of second energy supplied from a system to the power system; a power supply configured to supply power stored therein or generate power to supply the power system and measure an amount of third energy supplied; and an external server configured to receive at least one of the patterns, the amount of the second energy and the amount of the third energy and analyze the patterns to acquire an amount of first energy for each of the loads. In some embodiments, the external server calculates at least one of the amount of the first, second and third energy.

The present invention is directed to systems and methods of disaggregating and detecting energy usage associated with electric vehicle charging from a whole-house consumption signal. In general, methods of the present invention may include: identifying by an electronic processor potential interval candidates of electric vehicle charging, based at least in part upon long and decreasing patterns; determining by the electronic processor intervals associated with the charging of an electric vehicle, based at least in part on evaluating each potential interval candidate; determining by the electronic processor an initial point of charging for each interval associated with the charging of an electric vehicle; and accounting by the electronic processor for feedback of any incorrectly detected signals.

Flow rate measurement device includes flow rate measurement unit that measures a flow rate of gas at a prescribed time interval, and arithmetic unit that calculates a characteristic flow rate from the flow rates measured within a predetermined period, and calculates a ratio of each flow rate measured at multiple times within the predetermined period with respect to the characteristic flow rate. In addition, flow rate measurement device includes appliance characteristic extraction unit that extracts an appliance characteristic quantity which indicates a characteristic of a flow rate change in currently using gas appliances within the predetermined period, the appliance characteristic quantity being the ratio or information obtained from the ratio, and appliance inherent characteristic information holding unit that holds an appliance inherent characteristic quantity indicating a characteristic flow rate state of a specific gas appliance. Furthermore, flow rate measurement device includes appliance discrimination unit that discriminates the currently using gas appliance by comparing the appliance characteristic quantity with the appliance inherent characteristic quantity.

Techniques determine if a gas service (e.g., piping and/or meter) is under-sized for the customer's needs. In one example, flowrate information corresponding to gas usage at a service site over a first period of time is obtained. The flowrate information is disaggregated to determine an expected flowrate associated with each of two or more appliances having generally fixed-rates of gas consumption. Flowrate information is again obtained, corresponding to a second period of time. The second flowrate information is compared to one or more combinations (i.e., summations) of the expected flowrates associated with each of the two or more appliances. Based on the comparison, it may be determined that the service site is not appropriately sized. In an example, failure to detect two fixed-rate of gas-consumption appliances operating at their respective fixed-rates at the same time may indicate that the service cannot provide gas at a sufficient flowrate.

Disclosed embodiments relate to a power monitoring system. In some embodiments, the power monitoring system includes: a sampling device configured to measure patterns of how loads included in the power system consume energy; an electric meter configured to measure a first amount of energy supplied from a transmission system to the power system; a power supply configured to supply power stored therein or generate power to supply it to the power system, and measure a second amount of energy supplied to the power system; an external server configured to receive measurements of the patterns from the sampling device, and obtain a third amount of energy consumed by the loads based on the measurements; and a home server configured to receive the first amount of energy and/or second amount of energy and transmit/receive data to/from the external server.