Anomaly Detection for IoT Time-Series Data: A Survey

Andrew Cook(Keele University), Zhong Fan(Xiamen University), Göksel Mısırlı(Keele University)

IEEE Internet of Things Journal

April 13, 2020

10.1109/jiot.2019.2958185

Cited by 738

Related Papers

Digital Twin: Enabling Technologies, Challenges and Open Research

|IEEE Access|2020|2.5k

1 Smart Grid Communications: Overview of Research Challenges, Solutions, and Standardization Activities

|Unknown|2016|505

Emerging technologies and research challenges for 5G wireless networks

|IEEE Wireless Communications|2014|480

A Distributed Demand Response Algorithm and Its Application to PHEV Charging in Smart Grids

|IEEE Transactions on Smart Grid|2012|396

Deep Reinforcement Learning-Based Energy Storage Arbitrage With Accurate Lithium-Ion Battery Degradation Model

|IEEE Transactions on Smart Grid|2020|304