# US 10,942,205 B2 · Method and system for analyzing electricity consumption > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 10,942,205 B2 - Document ID: US10942205B2 - Status: Granted - Kind: B2 - Application number: 15/911,566 - Filed: 2018-03-05 - Published: 2018-09-13 - Granted: 2021-03-09 - Earliest claimed: 2018-03-05 - Assignees: Smart Impulse - Applicants: Smart Impulse - Inventors: Antoine Labatie - Web page: https://patentgrep.com/patent/US10942205B2 ## CPC - G01R 21/133: by using digital technique - G01R: MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES (indicating correct tuning of resonant circuits H03J3/12) ## Abstract A system for analyzing electrical consumption of a site equipped with a plurality electrical equipment. The system comprises at least one sensor for periodic measurement of global consumption of the site by measuring current and voltage signals on at least one of the electrical phases upstream of the supply network for the site. The system comprises a processor for decomposing the global consumption of the site to individual consumption of each kind of electrical equipment based on a set of signatures with each signature has power load coefficients representing power loads of the corresponding electrical equipment. The system comprises a processor for optimizing the set of signatures and power load coefficients in comparing a calculated recomposition of the individual consumption with the measured global consumption to have a smallest difference of the comparison result, while respecting physical constraints of the set of signatures and the power load coefficients. ## Claims ### Claim 1 A method comprising: setting initial signatures for electrical equipment of a site; determining a current signal using a current sensor and a voltage signal using a voltage sensor by sampling of a supply to a site having a sampling frequency greater than about 30 times the fundamental frequency to obtain sampled current waveforms and sampled voltage waveforms over an observed period; determining a serial of waveforms based on the sampled current waveforms and the sampled voltage waveforms; decomposing the serial of waveforms as linear summations of a product of power load and a normalized signature, each product corresponding to a different type of electrical equipment, said normalized signature based on the initial signature and a first constraint, said first constraint comprising dominance of energy weight on a first harmonic, said power load coefficients for the site using second constraints of positivity and minimization of variation; determining a power consumption for each kind of electrical equipment of the site based on the step of decomposing; and forming a historical database based upon the actual power consumption of each kind of equipment corresponding to each signature and a history and providing performance indicators based on the actual power consumption of each kind of equipment. ### Claim 2 (depends on 1) The method according to claim 1, wherein the first constraint comprises sharing signatures for different electrical phases. ### Claim 3 (depends on 1) The method according to claim 1, wherein setting the initial signatures comprises randomly setting the initial signatures. ### Claim 4 (depends on 1) The method according to claim 1, wherein differences in the serial of waveforms and the linear summations are about zero or close to zero. ### Claim 5 (depends on 1) The method according to claim 1, further comprising utilizing the normalized signatures for both the step of decomposing and the step of determining the power consumption. ### Claim 6 (depends on 1) The method according to claim 1, further comprising iteratively performing the steps of determining the current signal and the voltage signal, determining a serial of waveforms, and decomposing the serial of waveforms as linear summations of determining the current signal and the voltage signal, for about two weeks to obtain a final signature for each kind of electrical equipment of the site. ### Claim 7 (depends on 4) The method according to claim 4, further comprising iteratively updating the database based on the normalized signature. ### Claim 8 (depends on 6) The method according to claim 6, wherein determining the power consumption comprises determining the power consumption of each kind of electrical equipment based on the final signature. ### Claim 9 (depends on 6) The method according to claim 6, wherein determining the power consumption comprises determining the power consumption of each kind of electrical equipment based on the final signature after the final signatures are determined. ### Claim 10 (depends on 1) The method according to claim 1, wherein in the decomposing step, known signatures from the database or signatures of equipment measured in a laboratory are used. ### Claim 11 A method comprising: setting initial signatures for electrical equipment of a site; determining a current signal using a current sensor and a voltage signal using a voltage sensor by sampling of a supply to a site having a sampling frequency greater than about 30 times the fundamental frequency to obtain sampled current waveforms and sampled voltage waveforms over an observed period; determining a serial of waveforms based on the sampled current waveforms and the sampled voltage waveforms; decomposing the serial of waveforms as linear summations of a product of power load and a normalized signature, each product corresponding to a different type of electrical equipment, said normalized signature based on the initial signature and a first constraint, said first constraint comprising dominance of energy weight on a first harmonic, said power load coefficients for the site using second constraints of positivity and minimization of variation; determining a power consumption for each kind of electrical equipment of the site; iteratively forming until differences in the serial of waveforms and the linear summations are about zero or close to zero, said database based upon the actual power consumption of each kind of equipment corresponding to each signature and a history; and providing performance indicators based on the actual power consumption of each kind of equipment.