Anomaly Detection for Advanced Metering Infrastructure

Utilismart为公用事业、市政、工业、商业和住宅消费者提供仪表数据管理和高级计量基础设施软件解决方案。目前，Utilismart为100多个公用事业消费者提供服务，主要是中小型公共电力公司。由Utilismart管理的数据用于能源计费，公用事业和电力系统运营商（如安大略的IESO）之间的货币结算，以及其他数据服务。尽管Utilismart已经遵循数据管理的最佳实践并符合数据管理法规，但该公司仍在不断努力改进其流程，并始终寻求提供新的数据相关服务的机会。该项目旨在评估和改进Utilismart现有的数据流程和流程，并应用机器学习来检测与正常和预期行为的偏差。机器学习，特别是异常检测，将用于检测潜在的错误数据（由于传输，仪表安装，数据处理或其他错误），使工作人员能够专注于检查已识别的数据段。此外，异常检测将识别意外的能源消耗模式，例如周末关闭的办公楼的高周末能源消耗。然后，可以通知消费者进一步调查可能的原因。Utilismart将受益于数据质量的进一步提高和内部流程的改进。此外，异常检测将使公司能够提供新的能源相关服务，并在能源节约和管理方面开辟新的市场机会。

Utilismart provides meter data management and advanced metering infrastructure software solutions for utilities, municipalities, industrial, commercial, and residential consumers. Presently, Utilismart serves over 100 utility consumers, primarily small and midsize public power utilities. Data managed by Utilismart is used for energy billing, for monetary settlements between utility and electricity system operators (such as IESO in Ontario), and other data services. Although Utilismart already follows best practices in data management and conforms to data management regulations, the company is continuously working on improving its processes and is always seeking opportunities to provide new data-related services.This project aims to evaluate and improve Utilismarts existing data processes and flows and apply machine learning to detect deviations from normal and expected behaviours. Machine learning, specifically anomaly detection, will be used to detect potentially faulty data (due to transmission, meter installation, data processing, or other errors) enabling staff to focus on checking identified data segments. Moreover, anomaly detection will identify unexpected energy consumption patterns such as high weekend energy consumption of an office building closed over weekend. Consumers then can be notified to further investigate possible causes. Utilismart will benefit through additional guaranties of data quality and improved internal processes. Moreover, anomaly detection will enable the company to provide new energy-related services and open new market opportunities in energy conservation and management.