Anomaly Prediction in Electricity Consumption Using a Combination of Machine Learning Techniques
Rawan Mohammed Elhadad, Yi-Fei Tan, Wooi-Nee Tan
Abstract
Electricity demand is increasing proportionally to the increase in power usage. Without a doubt, energy efficiency has gained significant importance and attention, with one of the primary concerns being the detection and forecasting of abnormal c
Topics & Concepts
ElectricityConsumption (sociology)Power consumptionComputer scienceSmart meterSequence (biology)Anomaly detectionIsolation (microbiology)Electricity meterEnergy consumptionAnomaly (physics)Power (physics)Artificial intelligenceData miningMachine learningEngineeringElectrical engineeringCondensed matter physicsGeneticsPhysicsQuantum mechanicsMicrobiologyBiologySociologySocial scienceEnergy Load and Power ForecastingElectricity Theft Detection TechniquesSmart Grid Energy Management