Search Results - "Kurte, Kuldeep"

The role of humidity in determining future electricity demand in the southeastern United States by Rastogi, Deeksha, Lehner, Flavio, Kuruganti, Teja, Evans, Katherine J, Kurte, Kuldeep, Sanyal, Jibonananda

“…Co-occurrence of high relative humidity levels and high temperatures can increase human discomfort, thereby affecting electricity requirements for space…”
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Deep Reinforcement Learning for Autonomous Water Heater Control by Amasyali, Kadir, Munk, Jeffrey, Kurte, Kuldeep, Kuruganti, Teja, Zandi, Helia

“…Electric water heaters represent 14% of the electricity consumption in residential buildings. An average household in the United States (U.S.) spends about USD…”
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Semantics-Enabled Framework for Spatial Image Information Mining of Linked Earth Observation Data by Kurte, Kuldeep R., Durbha, Surya S., King, Roger L., Younan, Nicolas H., Vatsavai, Rangaraju

“…Recent developments in sensor technology are contributing toward the tremendous growth of remote sensing (RS) archives (currently, at the petabyte scale)…”
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Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer by Kurte, Kuldeep, Sanyal, Jibonananda, Berres, Anne, Lunga, Dalton, Coletti, Mark, Yang, Hsiuhan Lexie, Graves, Daniel, Liebersohn, Benjamin, Rose, Amy

“…Summary This paper presents a scalable object detection workflow for detecting objects, such as settlements, from remotely sensed (RS) imagery. We have…”
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Semantics and High Performance Computing Driven Approaches for Enhanced Exploitation of Earth Observation (EO) Data: State of the Art by Durbha, Surya S., Kurte, Kuldeep R., Bhangale, Ujwala

“…This review paper discusses the state of the art in earth observation image (EO) information mining from a semantics based approaches. The need for mining of…”
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Toward Urban Water Security: Broadening the Use of Machine Learning Methods for Mitigating Urban Water Hazards by Allen-Dumas, Melissa R., Xu, Haowen, Kurte, Kuldeep R., Rastogi, Deeksha

“…Due to the complex interactions of human activity and the hydrological cycle, achieving urban water security requires comprehensive planning processes that…”
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Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning by Du, Yan, Zandi, Helia, Kotevska, Olivera, Kurte, Kuldeep, Munk, Jeffery, Amasyali, Kadir, Mckee, Evan, Li, Fangxing

“…•A deep reinforcement learning (RL) control strategy for residential HVAC is proposed.•The control strategy is based on the deep deterministic policy gradient…”
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Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control by Du, Yan, Li, Fangxing, Munk, Jeffrey, Kurte, Kuldeep, Kotevska, Olivera, Amasyali, Kadir, Zandi, Helia

“…•A multi-zone residential HVAC control is proposed in this paper.•It is based on multi-task deep reinforcement learning (deep RL) method.•It minimizes energy…”
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Reinforcement Learning-Based Approach for EMT Automation of Large-Scale PV Plants by Xia, Qianxue, Kurte, Kuldeep, Debnath, Suman

“…In the pursuit of efficient and precise modeling of large-scale power systems, particularly utility-scale photovoltaic (PV) plants, Electromagnetic Transient…”
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Multi-Class Segmentation of Urban Floods from Multispectral Imagery Using Deep Learning by Potnis, Abhishek V., Shinde, Rajat C., Durbha, Surya S., Kurte, Kuldeep R.

“…Natural disasters such as floods, earthquakes, hurricanes, etc. have a huge impact on a society-causing destruction of life and property in their wake. During…”
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Ten questions concerning reinforcement learning for building energy management by Nagy, Zoltan, Henze, Gregor, Dey, Sourav, Arroyo, Javier, Helsen, Lieve, Zhang, Xiangyu, Chen, Bingqing, Amasyali, Kadir, Kurte, Kuldeep, Zamzam, Ahmed, Zandi, Helia, Drgoňa, Ján, Quintana, Matias, McCullogh, Steven, Park, June Young, Li, Han, Hong, Tianzhen, Brandi, Silvio, Pinto, Giuseppe, Capozzoli, Alfonso, Vrabie, Draguna, Bergés, Mario, Nweye, Kingsley, Marzullo, Thibault, Bernstein, Andrey

“…As buildings account for approximately 40% of global energy consumption and associated greenhouse gas emissions, their role in decarbonizing the power grid is…”
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Semantic Framework for Spatial Query Reformulation for Disaster Monitoring Applications by Kurte, Kuldeep R., Potnis, Abhishek V., Durbha, Surya S., Shinde, Rajat C.

“…In disasters, since time is of the essence, quick decision making based on actionable insights is desired. In our earlier work, we have demonstrated that the…”
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Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning by Du, Yan, Zandi, Helia, Kotevska, Olivera, Kurte, Kuldeep, Munk, Jeffery, Amasyali, Kadir, Mckee, Evan, Li, Fangxing

“…Residential heating, ventilation, and air conditioning (HVAC) has been considered as an important demand response resource. However, the optimization of…”
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The role of humidity in determining future electricity demand in the southeastern United States by Rastogi, Deeksha, Lehner, Flavio, Kuruganti, Teja, Evans, Katherine J., Kurte, Kuldeep, Sanyal, Jibonananda

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Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control by Du, Yan, Li, Fangxing, Munk, Jeffrey, Kurte, Kuldeep, Kotevska, Olivera, Amasyali, Kadir, Zandi, Helia

“…In this short communication, a data-driven deep reinforcement learning (deep RL) method is applied to minimize HVAC users’ energy consumption costs while…”
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A Bayesian model for multivariate discrete data using spatial and expert information with application to inferring building attributes by Krapu, Christopher, Hayes, Nolan, Stewart, Robert, Kurte, Kuldeep, Rose, Amy, Sorokine, Alex, Urban, Marie

“…When modeling sparsely observed multivariate data, strong prior information elicited from experts can be used to bolster predictive accuracy and counteract…”
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High-Performance Computing Based EMT Simulation of Large PV or Hybrid PV Plants by Debnath, Suman, Choi, Jongchan, Hughes, Harry, Kurte, Kuldeep, Marthi, Phani, Hahn, Steven

“…Faults in the transmission grid have led to reduced power generation from power electronics resources that are typically not connected to the faulted…”
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Enhanced Budget-Constrained Emission Reduction in Power Dispatch by Kurte, Kuldeep, Kulkarni, Kedar

“…In this paper, we present a budget-constrained emission reduction approach to solve the power dispatch problem that significantly reduces the emissions with…”
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Performance analysis and optimization for scalable deployment of deep learning models for country-scale settlement mapping on Titan supercomputer by Kurte, Kuldeep, Sanyal, Jibonananda, Berres, Anne, Lunga, Dalton, Coletti, Mark, Yang, Hsiuhan Lexie, Graves, Daniel, Liebersohn, Benjamin, Rose, Amy

“…Here, we present a scalable object detection workflow for detecting objects, such as settlements, from remotely sensed (RS) imagery. We have successfully…”
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Deep Reinforcement Learning for Residential HVAC Control with Consideration of Human Occupancy by McKee, Evan, Du, Yan, Li, Fangxing, Munk, Jeffrey, Johnston, Travis, Kurte, Kuldeep, Kotevska, Olivera, Amasyali, Kadir, Zandi, Helia

“…The Artificial Intelligence (AI) development described herein uses model-free Deep Reinforcement Learning (DRL) to minimize energy cost during residential…”
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