Proceedings of the 2014 conference ICT for Sustainability, 2014
Though rapid increase in energy consumption has become a global problem, most of the solutions de... more Though rapid increase in energy consumption has become a global problem, most of the solutions developed to address it for residential consumers are based on qualitative studies conducted with small numbers of users, typically in the developed world. Recent work has begun to explore consumption practices, and motivations, barriers and other factors affecting energy consumption in urban India. However, the small numbers of participants in those studies limit their generality. Our work contributes to this picture through a survey of 1724 residents of urban India, exploring the motivations and barriers affecting energy conservation and their opinions about sharing energy consumption data and future technologies for conservation. We found that urban Indians practice conservation because it is a learned habit and to save money, while comfort and convenience are the major barriers in conserving energy. Contrary to previous findings, we did not find a major influence of tradition, spirituality or moral reasons for conservation. Moreover, participants have minimal privacy concerns regarding sharing energy data. Interestingly, participants were not only interested in energy monitoring solutions, but were also positive about automated energy controlling systems, which contrasts previous findings. We conclude with design opportunities for this demographic such as information-sharing opportunities, appliance level consumption disaggregation, and convenient manual controls.
Proceedings of the 4th ACM Workshop on Networked Systems for Developing Regions - NSDR '10, 2010
Mobile phones have emerged as truly pervasive and affordable Information and Communication Techno... more Mobile phones have emerged as truly pervasive and affordable Information and Communication Technology (ICT) platform in the last decade. Large penetration of cellular networks and availability of advanced hardware platforms have inspired multiple innovative research opportunities in mobile computing domain. However, most of the research challenges have focused on typical scenarios existing in the developed economies. Using the healthcare as an application for mobile computing, we present research challenges and novelties in mobile computing domain that take account for differences between developing such as India and developed economies based on commonly available mobile platforms, communication cost, differences in user behavior and acceptable societal norms, among others. With localization being a critical component of various mobile systems, we present early results for the application of GPS-less localization that highlight the corresponding differences in Indian context.
This is to certify that the thesis titled "PACMAN: Predicting AC Consumption Minimizing Average e... more This is to certify that the thesis titled "PACMAN: Predicting AC Consumption Minimizing Average eNergy Consumption" submitted by Milan Jain for the partial fulfillment of the requirements for the degree of Master of Technology in Computer Science & Engineering with specialization in Mobile and Ubiquitous Computing is a record of the bonafide work carried out by him under my guidance and supervision in the Mobile and Ubiquitous Computing group
Proceedings of the 1st ACM Conference on Embedded Systems for Energy-Efficient Buildings, 2014
This is to certify that the thesis titled "WattShare: Detailed Energy Apportionment in Shared Liv... more This is to certify that the thesis titled "WattShare: Detailed Energy Apportionment in Shared Living Spaces within Commercial Buildings" submitted by Shailja Thakur for the partial fulfillment of the requirements for the degree of Master of Technology in Computer Science & Engineering is a record of the bonafide work carried out by her / him under my / our guidance and supervision in the Mobile and Ubiquitous group at
Proceedings of the fifth international conference on Information processing in sensor networks - IPSN '06, 2006
A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring ap... more A broad range of embedded networked sensor (ENS) systems for critical environmental monitoring applications now require complex, high peak power dissipating sensor devices, as well as on-demand high performance computing and high bandwidth communication. Embedded computing demands for these new platforms include support for computationally intensive image and signal processing as well as optimization and statistical computing. To meet these new requirements while maintaining critical support for low energy operation, a new multiprocessor node hardware and software architecture, Low Power Energy Aware Processing (LEAP), has been developed. This architecture integrates fine-grained energy dissipation monitoring and sophisticated power control scheduling for all subsystems including sensor subsystems. The LEAP architecture enables complex energy-aware algorithm design by providing a simple interface to control numerous platform and sensor power modes and report detailed energy usage information. This paper also describes experimental results of a new distributed node testbed based on LEAP demonstrating that by exploiting high energy efficiency components and enabling proper on-demand scheduling, the LEAP architecture meets both sensing performance and energy dissipation objectives for a broad class of applications. This testbed including the network of distributed LEAP nodes and a system producing physical, mobile events provides a development environment for LEAP-hosted algorithms. New design principles, detailed implementation, and in-network programming and remote debugging capabilities of this platform are also described. While this is the first report of the LEAP system, it has been deployed for nearly one year with 50 users developing energy aware systems.
Proceedings of the 5th international conference on Future energy systems, 2014
Non-intrusive load monitoring, or energy disaggregation, aims to separate household energy consum... more Non-intrusive load monitoring, or energy disaggregation, aims to separate household energy consumption data collected from a single point of measurement into appliancelevel consumption data. In recent years, the field has rapidly expanded due to increased interest as national deployments of smart meters have begun in many countries. However, empirically comparing disaggregation algorithms is currently virtually impossible. This is due to the different data sets used, the lack of reference implementations of these algorithms and the variety of accuracy metrics employed. To address this challenge, we present the Non-intrusive Load Monitoring Toolkit (NILMTK); an open source toolkit designed specifically to enable the comparison of energy disaggregation algorithms in a reproducible manner. This work is the first research to compare multiple disaggregation approaches across multiple publicly available data sets. Our toolkit includes parsers for a range of existing data sets, a collection of preprocessing algorithms, a set of statistics for describing data sets, two reference benchmark disaggregation algorithms and a suite of accuracy metrics. 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.
Buildings, with their different subsystems interacting with diverse occupants, constitute a compl... more Buildings, with their different subsystems interacting with diverse occupants, constitute a complex Cyber-Physical-Human infrastructure. Monitoring and controlling this complex ecosystem is essential both for efficient and optimized operations of building subsystems and for influencing the occupant behavior. A critical enabling technology in this case is a middleware system for buildings that can provide support for deriving rich inferences by fusing and analyzing intentionally acquired or opportunistically available data from diverse embedded sensors, human feedback, and existing building subsystems. This paper presents SensorAct, a decentralized and scriptable middleware system architecture for developing and scheduling various energy management applications for smart buildings. In addition to providing support for managing and integrating heterogeneous sensing and actuation systems in buildings, SensorAct provides two emerging features: 1) a scripting framework for extending and automating the energy management functions of the modern buildings, and 2) a rule-based sensor data and control sharing mechanism for fine-grained sharing for building owners. We describe the detailed system architecture and design, and provide proof of concept through multiple third party applications built using SensorAct APIs and deployment in diverse settings across India and United States. SensorAct is released in open source for community use.
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Papers by Amarjeet Singh