Probabilistic-statistical analysis of the maximum electrical load of apartment
Author:
Affiliation:
1. National Research University "MPEI",Moscow,Russian Federation
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10086702/10086686/10086879.pdf?arnumber=10086879
Reference17 articles.
1. Neighbourhood load profiles from advanced measurement data
2. Evaluation of a forecast model to predict electricity demand profiles of urban households considering dynamic incentives
3. Modeling Daily Load Profiles of Distribution Network for Scenario Generation Using Flow-Based Generative Network
4. A Comprehensive Review of Residential Electricity Load Profile Models
5. Future electricity demand and flexibility potential of private households
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1. Development of Regulatory Requirements for Calculation of Electrical Loads of Residential Complexes;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20
2. Development of Regulatory Requirements for Calculation of Electrical Loads of Schools and Kindergartens;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20
3. Development of Regulatory Documents for Calculating Electrical Loads of Single-Family Homes Using Big Data;2024 International Russian Smart Industry Conference (SmartIndustryCon);2024-03-25
4. Analysis of the Local Daily Maximum Load of Apartment Using Probabilistic and Statistical Methods;2024 6th International Youth Conference on Radio Electronics, Electrical and Power Engineering (REEPE);2024-02-29
5. Specific Electrical Loads of Multi-Apartment Residential Buildings in the Agglomeration «Moscow - Moscow Region»;2023 IEEE 64th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON);2023-10-09
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