Non Technical Losses Detection （NTLD）
Non Technical Losses Detection System
Non Technical Losses Detection （NTLD）is an application system that identifies premises with a high probability of energy theft or loss at the source, throughout a utility’s entire service territory. Employing massive energy consumption data and advanced artificial intelligence (AI) techniques for NTL detection are helpful.
Main Functions
Network Loss Calculation
Network Loss Identification
Power Load Pattern Extraction
Abnormality Diagnosis
Key Features
Comprehensive analysis of multiple rules
Checking that the electricity data are present without any omissions, aligns with the operational status of the power system, and falls within a reasonable range. Ensuring that electricity data provided by different sources is consistent. Checking the logical consistency between upstream and downstream data.
Machine learning algorithm & AI Model
By machine learning algorithms, load characteristics that reflect user electricity consumption behavior can be extracted from a large amount of data.
Match detected abnormal patterns with known abnormal power consumption patterns to identify specific abnormal types. Analyze long-term load data, predict future load trends, and check whether there are periodic abnormal patterns in load data.
