Milan Jain's repositories
PACMAN
Residential buildings account for a significant proportion of overall energy consumption across the world. Decentralized room level Air Conditioners (ACs) are a commonplace in developing countries such as India, contributing a significant share (34% in India) of the total residential energy consumption. Option to independently control each AC presents a prime opportunity for an energy saving system. Thus, we propose PACMAN to non-intrusively (using only the temperature information) predict AC energy consumption prior to usage and estimate energy consumption post-usage. We discuss various possible applications and use cases of such feedback for the occupants. To empirically validate the performance of PACMAN, we conducted an in-situ study across seven homes in Delhi (India). We collected around 2200 hours of usage data from the different ACs, room types, and thermostat temperatures. We achieved an average accuracy of 85.3% and 83.7% with the best accuracy of 97.0% and 93.3% for the estimation and prediction of AC energy consumption respectively, across all homes. Towards the end, we discuss various outlier scenarios, opening up multiple directions for further research in this domain.
AC-Data-Collection
To Collect data from Air Conditioner using flyport for Analysis purpose.
fusion_move_stereo_matcher
This code is an implementation of fusion move algorithm for stereo matcher. As it includes submodular terms, therefore we have implemented QPBO to find out min cutand energy minimization.
GraphChallengePNNL-SpDNN
SpDNN Implementations using CuPY, cuSparse, and OpenMP
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
SBS_MakefileProject
Simple Building Simulator is a tool to quickly implement thermal models to understand impact of various factors such as weather conditions, activities of occupants, etc on the room temperature. It can approximately simulate the behavior of a building having multiple HVAC zones, depending upon the thermal model. Aim of this project is to develop a tool which is quick and easy to handle for computer scientists working in space of HVAC optimization across residential and commercial buildings.
SBS_VSProject
Simple Building Simulator is a tool to quickly implement thermal models to understand impact of various factors such as weather conditions, activities of occupants, etc on the room temperature. It can approximately simulate the behavior of a building having multiple HVAC zones, depending upon the thermal model. Aim of this project is to develop a tool which is quick and easy to handle for computer scientists working in space of HVAC optimization across residential and commercial buildings.
ZWave-MultiSensor
ZWave-MultiSensor is to collect MultiSensor(EZMotion 3-in-1 MultiSensor) data(light, temperature) on polling basis. Motion data is interrupt based. OpenZWave stack is used to control the multisensors from Aeon ZWave Stick.