b'Ram Rajagopal'

research

∙ 06/29/2023

TemperatureGAN: Generative Modeling of Regional Atmospheric Temperatures

Stochastic generators are useful for estimating climate impacts on vario...

0 Emmanuel Balogun, et al. ∙

research

∙ 01/04/2023

Detecting Neighborhood Gentrification at Scale via Street-level Visual Data

Neighborhood gentrification plays a significant role in shaping the soci...

0 Tianyuan Huang, et al. ∙

research

∙ 04/22/2022

Constructing dynamic residential energy lifestyles using Latent Dirichlet Allocation

The rapid expansion of Advanced Meter Infrastructure (AMI) has dramatica...

0 Xiao Chen, et al. ∙

research

∙ 11/29/2021

NeuralProphet: Explainable Forecasting at Scale

We introduce NeuralProphet, a successor to Facebook Prophet, which set a...

0 Oskar Triebe, et al. ∙

research

∙ 08/09/2021

EVGen: Adversarial Networks for Learning Electric Vehicle Charging Loads and Hidden Representations

The nexus between transportation, the power grid, and consumer behavior ...

0 Robert Buechler, et al. ∙

research

∙ 07/01/2021

Joint Optimization of Autonomous Electric Vehicle Fleet Operations and Charging Station Siting

Charging infrastructure is the coupling link between power and transport...

0 Justin Luke, et al. ∙

research

∙ 05/06/2021

Learning Neighborhood Representation from Multi-Modal Multi-Graph: Image, Text, Mobility Graph and Beyond

Recent urbanization has coincided with the enrichment of geotagged data,...

19 Tianyuan Huang, et al. ∙

research

∙ 04/01/2021

Quick Line Outage Identification in Urban Distribution Grids via Smart Meters

The growing integration of distributed energy resources (DERs) in distri...

0 Yizheng Liao, et al. ∙

research

∙ 12/07/2020

An Enriched Automated PV Registry: Combining Image Recognition and 3D Building Data

While photovoltaic (PV) systems are installed at an unprecedented rate, ...

0 Benjamin Rausch, et al. ∙

research

∙ 12/02/2020

Generating private data with user customization

Personal devices such as mobile phones can produce and store large amoun...

8 Xiao Chen, et al. ∙

research

∙ 10/26/2020

Activity Detection And Modeling Using Smart Meter Data: Concept And Case Studies

Electricity consumed by residential consumers counts for a significant p...

0 Hao Wang, et al. ∙

research

∙ 10/09/2020

Short-Term Solar Irradiance Forecasting Using Calibrated Probabilistic Models

Advancing probabilistic solar forecasting methods is essential to suppor...

2 Eric Zelikman, et al. ∙

research

∙ 06/12/2020

FedGAN: Federated Generative Adversarial Networks for Distributed Data

We propose Federated Generative Adversarial Network (FedGAN) for trainin...

0 Mohammad Rasouli, et al. ∙

research

∙ 06/12/2020

FedGAN: Federated Generative AdversarialNetworks for Distributed Data

We propose Federated Generative Adversarial Network (FedGAN) for trainin...

0 Mohammad Rasouli, et al. ∙

research

∙ 05/07/2020

Effective Data Fusion with Generalized Vegetation Index: Evidence from Land Cover Segmentation in Agriculture

How can we effectively leverage the domain knowledge from remote sensing...

2 Hao Sheng, et al. ∙

research

∙ 04/21/2020

The 1st Agriculture-Vision Challenge: Methods and Results

The first Agriculture-Vision Challenge aims to encourage research in dev...

18 Mang Tik Chiu, et al. ∙

research

∙ 01/29/2020

Urban2Vec: Incorporating Street View Imagery and POIs for Multi-Modal Urban Neighborhood Embedding

Understanding intrinsic patterns and predicting spatiotemporal character...

3 Zhecheng Wang, et al. ∙

research

∙ 11/27/2019

AR-Net: A simple Auto-Regressive Neural Network for time-series

In this paper we present a new framework for time-series modeling that c...

0 Oskar Triebe, et al. ∙

research

∙ 10/04/2019

Energy Resource Control via Privacy Preserving Data

Although the frequent monitoring of smart meters enables granular contro...

0 Xiao Chen, et al. ∙

research

∙ 05/01/2019

On the Interaction between Autonomous Mobility on Demand Systems and Power Distribution Networks -- An Optimal Power Flow Approach

In future transportation systems, the charging behavior of electric Auto...

0 Alvaro Estandia, et al. ∙

research

∙ 04/20/2019

Distributed generation of privacy preserving data with user customization

Distributed devices such as mobile phones can produce and store large am...

6 Xiao Chen, et al. ∙

research

∙ 12/15/2018

Sequential Multiple Structural Damage Detection and Localization: A Distributed Approach

As essential components of the modern urban system, the health condition...

0 Yizheng Liao, et al. ∙

research

∙ 11/19/2018

Electric vehicle charging during the day or at night: a perspective on carbon emissions

We propose an emission-oriented charging scheme to evaluate the emission...

0 Xiao Chen, et al. ∙

research

∙ 11/14/2018

Structural Damage Detection and Localization with Unknown Post-Damage Feature Distribution Using Sequential Change-Point Detection Method

The high structural deficient rate poses serious risks to the operation ...

0 Yizheng Liao, et al. ∙

research

∙ 11/14/2018

Fast Distribution Grid Line Outage Identification with μPMU

The growing integration of distributed energy resources (DERs) in urban ...

4 Yizheng Liao, et al. ∙

research

∙ 10/08/2018

Data-Driven Load Modeling and Forecasting of Residential Appliances

The expansion of residential demand response programs and increased depl...

0 Yuting Ji, et al. ∙

research

∙ 09/21/2018

Understanding Compressive Adversarial Privacy

Designing a data sharing mechanism without sacrificing too much privacy ...

0 Xiao Chen, et al. ∙

research

∙ 09/18/2018

Unbalanced Three-Phase Distribution Grid Topology Estimation and Bus Phase Identification

There is an increasing need for monitoring and controlling uncertainties...

0 Yizheng Liao, et al. ∙

research

∙ 08/22/2018

Peer to Peer Sharing of Distributed Energy Resources

As the penetration of distributed energy resources in the residential se...

0 Siddharth Patel, et al. ∙

research

∙ 07/13/2018

Generative Adversarial Privacy

We present a data-driven framework called generative adversarial privacy...

0 Chong Huang, et al. ∙

research

∙ 04/23/2018

Siamese Generative Adversarial Privatizer for Biometric Data

State-of-the-art machine learning algorithms can be fooled by carefully ...

0 Witold Oleszkiewicz, et al. ∙

research

∙ 12/07/2017

Parking Sensing and Information System: Sensors, Deployment, and Evaluation

This paper describes a smart parking sensing and information system that...

0 Xiao Chen, et al. ∙

research

∙ 10/26/2017

Context-Aware Generative Adversarial Privacy

Preserving the utility of published datasets while simultaneously provid...

0 Chong Huang, et al. ∙

research

∙ 11/06/2016

Urban Distribution Grid Topology Estimation via Group Lasso

The growing penetration of distributed energy resources (DERs) in urban ...

0 Yizheng Liao, et al. ∙

research

∙ 11/05/2015

A Sparse Linear Model and Significance Test for Individual Consumption Prediction

Accurate prediction of user consumption is a key part not only in unders...

0 Pan Li, et al. ∙

Ram Rajagopal

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