Search Results - "Kalathil, Dileep"
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Decentralized Learning for Multiplayer Multiarmed Bandits
Published in IEEE transactions on information theory (01-04-2014)“…We consider the problem of distributed online learning with multiple players in multiarmed bandit (MAB) models. Each player can pick among multiple arms. When…”
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Generative Adversarial Networks-Based Synthetic PMU Data Creation for Improved Event Classification
Published in IEEE open access journal of power and energy (2021)“…A two-stage machine learning-based approach for creating synthetic phasor measurement unit (PMU) data is proposed in this article. This approach leverages…”
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Fully Decentralized Reinforcement Learning-Based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power
Published in IEEE open access journal of power and energy (2021)“…In this paper, we introduce a new framework to address the problem of voltage regulation in unbalanced distribution grids with deep photovoltaic penetration…”
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The impact of heavy-duty vehicle electrification on large power grids: A synthetic Texas case study
Published in Advances in applied energy (01-06-2022)“…•As little as 11% of heavy-duty electric vehicles in Texas charging simultaneously can compromise grid reliability.•A few dozen HDEVs charging simultaneously…”
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Deep Reinforcement Learning-Based Robust Protection in DER-Rich Distribution Grids
Published in IEEE open access journal of power and energy (2022)“…This paper introduces a new framework of deep reinforcement learning based protective relay design in power distribution systems with many distributed energy…”
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The Sharing Economy for the Electricity Storage
Published in IEEE transactions on smart grid (01-01-2019)“…The sharing economy has upset the market for housing and transportation services. Homeowners can rent out their property when they are away on vacation, car…”
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Meta-Learning for Fast Adaption in Caching Networks
Published in IEEE/ACM transactions on networking (18-10-2024)“…With the proliferation of short form high quality video content, it has become increasing important to find light weight and efficient edge caching algorithms…”
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Mechanism Design for Demand Response Programs
Published in IEEE transactions on smart grid (01-01-2020)“…Demand response (DR) programs serve to reduce the consumption of electricity at times when the supply is scarce and expensive. Consumers or agents with…”
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On Regret-Optimal Learning in Decentralized Multiplayer Multiarmed Bandits
Published in IEEE transactions on control of network systems (01-03-2018)“…We consider the problem of learning in single-player and multiplayer multiarmed bandit models. Bandit problems are classes of online learning problems that…”
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DETERRENT: Detecting Trojans Using Reinforcement Learning
Published in IEEE transactions on computer-aided design of integrated circuits and systems (01-01-2024)“…The globalized nature of the integrated circuits supply chain has given rise to several security problems. The insertion of malicious components, called…”
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Bounded Regret for Finitely Parameterized Multi-Armed Bandits
Published in IEEE control systems letters (01-07-2021)“…We consider the problem of finitely parameterized multi-armed bandits where the model of the underlying stochastic environment can be characterized based on a…”
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Empirical Dynamic Programming
Published in Mathematics of operations research (01-05-2016)“…We propose empirical dynamic programming algorithms for Markov decision processes. In these algorithms, the exact expectation in the Bellman operator in…”
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Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms
Published in IEEE/ACM transactions on networking (01-02-2022)“…Crucial performance metrics of a caching algorithm include its ability to quickly and accurately learn a popularity distribution of requests. However, a…”
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Sharing economy and optimal investment decisions for distributed solar generation
Published in Applied energy (15-07-2021)“…This paper presents three different models to address the distributed solar photovoltaic (PV) investment problem: the status-quo of net-metering, a sharing…”
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Decoupled Data-Based Approach for Learning to Control Nonlinear Dynamical Systems
Published in IEEE transactions on automatic control (01-07-2022)“…This article addresses the problem of learning the optimal control policy for a nonlinear stochastic dynamical. This problem is subject to the "curse of…”
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Optimal Decentralized Control With Asymmetric One-Step Delayed Information Sharing
Published in IEEE transactions on control of network systems (01-03-2018)“…We consider optimal control of decentralized LQG problems for plants having nested subsystems controlled by two players with asymmetric information sharing…”
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Selling Demand Response Using Options
Published in IEEE transactions on smart grid (01-01-2021)“…Wholesale electricity markets in many jurisdictions use a two-settlement structure: a day-ahead market for bulk power transactions and a real-time market for…”
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Selling Demand Response Using Options
Published in IEEE transactions on smart grid (23-07-2020)“…Wholesale electricity markets in many jurisdictions use a two-settlement structure: a day-ahead market for bulk power transactions and a real-time market for…”
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Estimating Phase Duration for SPaT Messages
Published in IEEE transactions on intelligent transportation systems (01-07-2019)“…A signal phase and timing (SPaT) message describes the current phase at a signalized intersection for each lane, together with an estimate of the residual time…”
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Fully Decentralized Reinforcement Learning-Based Control of Photovoltaics in Distribution Grids for Joint Provision of Real and Reactive Power
Published in 2022 IEEE Power & Energy Society General Meeting (PESGM) (17-07-2022)“…In this paper, we introduce a new framework to address the problem of voltage regulation in unbalanced distribution grids with deep photovoltaic penetration…”
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