Search Results for author: Amarjeet Singh

Found 7 papers, 2 papers with code

NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring

2 code implementations15 Apr 2014 Nipun Batra, Jack Kelly, Oliver Parson, Haimonti Dutta, William Knottenbelt, Alex Rogers, Amarjeet Singh, Mani Srivastava

We demonstrate the range of reproducible analyses which are made possible by our toolkit, including the analysis of six publicly available data sets and the evaluation of both benchmark disaggregation algorithms across such data sets.

Applications

Demo Abstract: NILMTK v0.2: A Non-intrusive Load Monitoring Toolkit for Large Scale Data Sets

2 code implementations20 Sep 2014 Jack Kelly, Nipun Batra, Oliver Parson, Haimonti Dutta, William Knottenbelt, Alex Rogers, Amarjeet Singh, Mani Srivastava

In this demonstration, we present an open source toolkit for evaluating non-intrusive load monitoring research; a field which aims to disaggregate a household's total electricity consumption into individual appliances.

Other Computer Science

Learning Non-Stationary Space-Time Models for Environmental Monitoring

no code implementations27 Apr 2018 Sahil Garg, Amarjeet Singh, Fabio Ramos

One of the primary aspects of sustainable development involves accurate understanding and modeling of environmental phenomena.

Adaptive Sensing for Learning Nonstationary Environment Models

no code implementations26 Apr 2018 Sahil Garg, Amarjeet Singh, Fabio Ramos

The core idea in LISAL is to learn two models using Gaussian processes (GPs) wherein the first is a nonstationary GP directly modeling the phenomenon.

Gaussian Processes

How good is good enough? Re-evaluating the bar for energy disaggregation

no code implementations26 Oct 2015 Nipun Batra, Rishi Baijal, Amarjeet Singh, Kamin Whitehouse

Since the early 1980s, the research community has developed ever more sophisticated algorithms for the problem of energy disaggregation, but despite decades of research, there is still a dearth of applications with demonstrated value.

Efficient Informative Sensing using Multiple Robots

no code implementations15 Jan 2014 Amarjeet Singh, Andreas Krause, Carlos Guestrin, William J. Kaiser

In this paper, we present an efficient approach for near-optimally solving the NP-hard optimization problem of planning such informative paths.

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