The present invention is related to a computer implemented method for demand disaggregation of a power consumption curve. The consumption curve, being the result of the use of a plurality of appliances operating in an overlapping manner where each of the appliances may be operating several times a day, start operating at different times and under different operating conditions. The present invention is a method that allows to extract very useful information from a single curve since it identifies which appliance is on at each instant of the day and allows to determine the consumption pattern of a user. The method, according to various embodiments, makes it possible to obtain the result with a reduced and affordable computational cost.

The invention relates to a method for analyzing the electrical consumption of a plurality of electrical appliances operating on a consumption site, by filtering a demand curve representing the electrical consumption of said appliances according to time. Said method is characterized in that it comprises the following steps: before the filtering per se of the demand curve, the demand curve is recorded and digitalized in such a way as to obtain a demand curve digitalized by periods of time; a set of categories of appliances is defined, each category being defined by similar cycles of power variation according to the time; an algorithm is defined for each category of appliances, for filtering the demand curve for said category of appliances, said algorithm being able to extract the power variation cycles from the digitalized demand curve and to allocate the electrical consumption to said category of appliances; then during the filtering per se of the digitalized demand curve, the filtering algorithms for each category of appliance are used successively to identify and regroup the power variation cycles consumed by said electrical appliances, from the digitalized demand curve.

The present disclosure relates to methods and systems for managing and controlling resources. A system for managing and controlling resources may comprise a storage device configured to store a set of instructions, one or more processors configured to communicate with the storage device. When executing the set of instructions, the one or more processors may be configured to cause the system to collect resource usage data through one or more meters, process the resource usage data based on a preset algorithm to determine resource usage state, and control at least the one or more meters and/or one or more smart devices to perform specified operations based on the resource usage state. The present disclosure provides methods and systems for managing and controlling resources based on meters or smart devices controlled by the network.