METHOD FOR DISAGGREGATION OF CUMULATIVE ENERGY CONSUMPTION SIGNAL Russian patent published in 2023 - IPC G01R31/00 G06N3/985 

Abstract RU 2804048 C1

FIELD: computer technology.

SUBSTANCE: method identifies natural classes of devices stored in the database that do not contain the same or similar signals in the resulting classes, by performing a clustering method for each individual class of devices, in which parameters are selected at which the clustering method determines the boundaries of the classes in such a way that their minimum number of crossings is achieved; generating a database of aggregate energy consumption signals from the energy consumption signals of individual devices stored in the database, with assigned labels of natural classes of devices; training a machine learning model based on the database generated in the previous stage, where the input data are signals of aggregate energy consumption, and the output data are signals of energy consumption and/or participation share and/or an indicator of presence in aggregate energy consumption for labels of natural classes of devices; receiving the aggregate energy consumption signal from the distribution network and disaggregating it using the trained machine learning model; wherein additionally performing post-processing of the labels of natural classes of devices obtained at the output of the machine learning model by comparing them with the corresponding data about devices from the database of energy consumption signals of individual devices and labels, as well as by comparing the result of disaggregation at a given point in time with the history of disaggregation up to a given point in time and determination, based on post-processing of the disaggregation result, of the operating modes of individual devices.

EFFECT: increased accuracy and interpretability of energy disaggregation results.

2 cl, 3 dwg, 3 tbl

Similar patents RU2804048C1

Title Year Author Number
METHOD FOR DIAGNOSING A COMPLEX OF ON-BOARD EQUIPMENT OF AIRCRAFT BASED ON MACHINE LEARNING AND A DEVICE FOR ITS IMPLEMENTATION 2023
  • Bukirev Aleksandr Sergeevich
  • Savchenko Andrej Yurevich
  • Ippolitov Sergej Viktorovich
  • Kryachkov Vyacheslav Nikolaevich
  • Resnyanskij Sergej Nikolaevich
RU2816667C1
AUTOMATED LEGAL ADVICE SYSTEM CONTROL METHOD 2019
  • Prikhodko Olga Viktorovna
  • Khyurri Ruslan Vladimirovich
  • Prikhodko Olga Viktorovna
RU2718978C1
METHOD FOR DIAGNOSING AIRCRAFT ON-BOARD EQUIPMENT COMPLEX BASED ON MACHINE LEARNING 2023
  • Bukirev Aleksandr Sergeevich
  • Savchenko Andrej Yurevich
  • Ippolitov Sergej Viktorovich
  • Kryachkov Vyacheslav Nikolaevich
  • Resnyanskij Sergej Nikolaevich
RU2809719C1
METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING 2023
  • Asonov Dmitrij Valerevich
  • Krylov Maksim Andreevich
  • Ryabikina Anastasiya Evgenevna
  • Litvinov Evgenij Vyacheslavovich
  • Mitrofanov Maksim Alekseevich
  • Mikhajlov Maksim Alekseevich
RU2809489C1
METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING USING THREE ENSEMBLES OF MACHINE LEARNING MODELS 2023
  • Asonov Dmitrij Valerevich
  • Krylov Maksim Andreevich
  • Ryabikina Anastasiya Evgenevna
  • Litvinov Evgenij Vyacheslavovich
  • Mitrofanov Maksim Alekseevich
  • Mikhajlov Maksim Alekseevich
RU2809595C1
SYSTEM AND METHOD OF FORMING TRAINING SET FOR MACHINE LEARNING ALGORITHM 2017
  • Lakhman Konstantin Viktorovich
  • Chigorin Aleksandr Aleksandrovich
  • Yurchenko Viktor Sergeevich
RU2711125C2
METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING USING TWO ENSEMBLES OF MACHINE LEARNING MODELS 2023
  • Asonov Dmitrij Valerevich
  • Krylov Maksim Andreevich
  • Ryabikina Anastasiya Evgenevna
  • Litvinov Evgenij Vyacheslavovich
  • Mitrofanov Maksim Alekseevich
  • Mikhajlov Maksim Alekseevich
RU2809490C1
METHOD AND SERVER FOR DETERMINING TRAINING SET FOR MACHINE LEARNING ALGORITHM (MLA) TRAINING 2020
  • Dorogush Anna Veronika Yurevna
  • Alipov Vyacheslav Vyacheslavovich
  • Kruchinin Dmitriy Andreevich
  • Oganesyan Dmitry Alekseevich
RU2817726C2
METHOD FOR RECOGNITION AND CLASSIFICATION OF ACTIONS OF MANUAL LABOR WORKERS BY DATA FROM WEARABLE DEVICES EQUIPPED WITH PHYSICAL ACTIVITY SENSORS 2020
  • Kashirin Daniil Olegovich
  • Inyakin Andrej Sergeevich
  • Motrenko Anastasiya Petrovna
RU2776599C2
METHOD AND SYSTEM FOR AUTOMATIC POLYGRAPH TESTING USING TWO MACHINE LEARNING MODELS 2023
  • Asonov Dmitrij Valerevich
  • Krylov Maksim Andreevich
  • Ryabikina Anastasiya Evgenevna
  • Litvinov Evgenij Vyacheslavovich
  • Mitrofanov Maksim Alekseevich
  • Mikhajlov Maksim Alekseevich
RU2810149C1

RU 2 804 048 C1

Authors

Ilia Kamyshev

Denis Kuznedelev

Elena Gryazina

Vladimir Terzija

Dates

2023-09-26Published

2023-04-26Filed