Our Team
%
Technical team members
%
Team members with master degrees or above
R&D System — Path
Original Technology
01 Perception（Data Collection）
02 Cognition（AI Algorithm Model）
○ Detection – pattern recognition, robust statistics, fault classification
○ Analysis – data modeling, physical modeling, data disaggregation
○ Diagnosis – virtual sensing, Bayesian method, automatic reasoning
○ Predicting – Integrated Learning, Neural Networks, Modeling Automation
○ Optimization – multi-objective optimization, stochastic programming, hypothesis analysis
03 Decision Making (visualization)
Core Technology
Non-intrusive load monitoring (NILM) technology can effectively reduce the number of sensors installed during the energy data collection process and guarantee minimum disturbance on user operations, furthermore, significantly shorten the construction period.
Public Security Record No.:
31011002002711
Website Record No.:
沪ICP备15051836号-1
EQuota Energy Technology (Shanghai) Ltd
