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.
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.
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.