Kuldeep Kurte

790 total citations
38 papers, 532 citations indexed

About

Kuldeep Kurte is a scholar working on Electrical and Electronic Engineering, Building and Construction and Renewable Energy, Sustainability and the Environment. According to data from OpenAlex, Kuldeep Kurte has authored 38 papers receiving a total of 532 indexed citations (citations by other indexed papers that have themselves been cited), including 17 papers in Electrical and Electronic Engineering, 15 papers in Building and Construction and 9 papers in Renewable Energy, Sustainability and the Environment. Recurrent topics in Kuldeep Kurte's work include Smart Grid Energy Management (14 papers), Building Energy and Comfort Optimization (13 papers) and Energy Efficiency and Management (8 papers). Kuldeep Kurte is often cited by papers focused on Smart Grid Energy Management (14 papers), Building Energy and Comfort Optimization (13 papers) and Energy Efficiency and Management (8 papers). Kuldeep Kurte collaborates with scholars based in United States, India and Finland. Kuldeep Kurte's co-authors include Helia Zandi, Kadir Amasyali, Yan Du, Olivera Kotevska, Fangxing Li, Peter L. Munk, Surya S. Durbha, Nicolas H. Younan, Roger L. King and Teja Kuruganti and has published in prestigious journals such as Applied Energy, Sustainability and Environmental Research Letters.

In The Last Decade

Kuldeep Kurte

36 papers receiving 513 citations

Peers

Kuldeep Kurte
Rui Yan China
Zixiao Shi Canada
Sicheng Zhan Singapore
Kuldeep Kurte
Citations per year, relative to Kuldeep Kurte Kuldeep Kurte (= 1×) peers Hussain Kazmi

Countries citing papers authored by Kuldeep Kurte

Since Specialization
Citations

This map shows the geographic impact of Kuldeep Kurte's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kuldeep Kurte with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kuldeep Kurte more than expected).

Fields of papers citing papers by Kuldeep Kurte

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kuldeep Kurte. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kuldeep Kurte. The network helps show where Kuldeep Kurte may publish in the future.

Co-authorship network of co-authors of Kuldeep Kurte

This figure shows the co-authorship network connecting the top 25 collaborators of Kuldeep Kurte. A scholar is included among the top collaborators of Kuldeep Kurte based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kuldeep Kurte. Kuldeep Kurte is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
2.
Amasyali, Kadir, Kuldeep Kurte, Helia Zandi, & Peter L. Munk. (2023). Reinforcement-learning-based Smart Water Heater Control: An Actual Deployment. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 3 indexed citations
4.
Durbha, Surya S., et al.. (2023). Advances in Scalable and Intelligent Geospatial Analytics. 1 indexed citations
5.
Du, Yan, Fangxing Li, Kuldeep Kurte, Peter L. Munk, & Helia Zandi. (2022). Demonstration of Intelligent HVAC Load Management With Deep Reinforcement Learning: Real-World Experience of Machine Learning in Demand Control. IEEE Power and Energy Magazine. 20(3). 42–53. 19 indexed citations
6.
Kurte, Kuldeep, Kadir Amasyali, Peter L. Munk, & Helia Zandi. (2022). Deep reinforcement learning with online data augmentation to improve sample efficiency for intelligent HVAC control. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 479–483. 4 indexed citations
7.
Kurte, Kuldeep, Kadir Amasyali, Peter L. Munk, & Helia Zandi. (2021). Comparative analysis of model-free and model-based HVAC control for residential demand response. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 309–313. 11 indexed citations
8.
Hasan, Shohedul, Neena Imam, Ramakrishnan Kannan, Srikanth B. Yoginath, & Kuldeep Kurte. (2021). Design Space Exploration of Emerging Memory Technologies for Machine Learning Applications. 439–448. 2 indexed citations
9.
Amasyali, Kadir, Peter L. Munk, Kuldeep Kurte, Teja Kuruganti, & Helia Zandi. (2021). Deep Reinforcement Learning for Autonomous Water Heater Control. Buildings. 11(11). 548–548. 17 indexed citations
10.
Rastogi, Deeksha, Flavio Lehner, Teja Kuruganti, et al.. (2021). The role of humidity in determining future electricity demand in the southeastern United States. Environmental Research Letters. 16(11). 114017–114017. 11 indexed citations
11.
Du, Yan, Fangxing Li, Peter L. Munk, et al.. (2020). Multi-task deep reinforcement learning for intelligent multi-zone residential HVAC control. Electric Power Systems Research. 192. 106959–106959. 55 indexed citations
12.
Du, Yan, Helia Zandi, Olivera Kotevska, et al.. (2020). Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning. Applied Energy. 281. 116117–116117. 200 indexed citations
13.
Du, Yan, Fangxing Li, Peter L. Munk, et al.. (2020). Deep Reinforcement Learning for Residential HVAC Control with Consideration of Human Occupancy. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 1–5. 8 indexed citations
14.
Kurte, Kuldeep, Peter L. Munk, Olivera Kotevska, et al.. (2020). Evaluating the Adaptability of Reinforcement Learning Based HVAC Control for Residential Houses. Sustainability. 12(18). 7727–7727. 42 indexed citations
15.
Berres, Andy, et al.. (2019). A Mobility-Driven Approach to Modeling Building Energy. OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information). 3887–3895. 4 indexed citations
16.
Kurte, Kuldeep, Jibonananda Sanyal, Andy Berres, et al.. (2019). Performance analysis and optimization for scalable deployment of deep learning models for country‐scale settlement mapping on Titan supercomputer. Concurrency and Computation Practice and Experience. 31(20). 7 indexed citations
17.
Kurte, Kuldeep, et al.. (2019). Regional-scale Spatio-Temporal Analysis of Impacts of Weather on Traffic Speed in Chicago using Probe Data. Procedia Computer Science. 155. 551–558. 7 indexed citations
18.
Kurte, Kuldeep, et al.. (2016). Accelerating Big Data processing chain in Image Information Mining using a hybrid HPC approach. 7597–7600. 11 indexed citations
19.
Kurte, Kuldeep, et al.. (2016). Big data processing using hpc for remote sensing disaster data. 14 indexed citations
20.
Kurte, Kuldeep & Surya S. Durbha. (2013). High resolution disaster data clustering using Graphics Processing Units. 1696–1699. 5 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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