EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid

no code implementations • 9 Oct 2021 • Yogesh Kulkarni, Sayf Hussain Z, Krithi Ramamritham, Nivethitha Somu

In this paper, we present EnsembleNTLDetect, a robust and scalable electricity theft detection framework that employs a set of efficient data pre-processing techniques and machine learning models to accurately detect electricity theft by analysing consumers' electricity consumption patterns.

Dimensionality Reduction Dynamic Time Warping +3

Explainable AI: Deep Reinforcement Learning Agents for Residential Demand Side Cost Savings in Smart Grids

no code implementations • 19 Oct 2019 • Hareesh Kumar, Priyanka Mary Mammen, Krithi Ramamritham

Motivated by recent advancements in Deep Reinforcement Learning (RL), we have developed an RL agent to manage the operation of storage devices in a household and is designed to maximize demand-side cost savings.

reinforcement-learning Reinforcement Learning (RL)

Civique: Using Social Media to Detect Urban Emergencies

no code implementations • 14 Oct 2016 • Diptesh Kanojia, Vishwajeet Kumar, Krithi Ramamritham

We present the Civique system for emergency detection in urban areas by monitoring micro blogs like Tweets.