Diego Kiedanski

Index Institution office homepage group 0 ■ Institut Mines-Telecom 50 None Former PhD students

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Mechanisms and architectures to encourage the massive and efficient use of local renewable energy Mécanismes et architectures pour encourager l’usage massif et efficace d’énergies renouvelables générées localement, Diego Kiedanski ■, 2020

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		⇣	⇣	Coalitional Game-Theoretical Approach to Coinvestment with Application to Edge Computing, Rosario Patane ■, Andrea Araldo ■, Tijani Chahed ■, Diego Kiedanski, Daniel Kofman ■, CCNC 2023, Las Vegas, United States
			⇣	Robust and Resource-efficient Machine Learning Aided Viewport Prediction in Virtual Reality, Yuang Jiang, Konstantinos Poularakis, Diego Kiedanski, Sastry Kompella, Leandros Tassiulas, IEEE Big Data 2022
			⇣	Instability of clustering metrics in overlapping community detection algorithms, Diego Kiedanski, Pablo Rodriguez Bocca, CLEI 2021
		⇣	⇣	Misalignments of objectives in demand response programs: a look at local energy markets, Diego Kiedanski ■, Daniel Kofman ■, Patrick Maille, Jose Horta, SmartGridComm 2020, Tempe (Virtual Conference), United States
		⇣	⇣	Combflex: a linear combinatorial auction for local energy markets, Diego Kiedanski ■, Ariel Orda, Daniel Kofman ■, SmartGridComm 2020, Tempe, United States
		⇣		Efficient distributed solutions for sharing energy resources at local level: a cooperative game approach, Diego Kiedanski ■, Ana Bušić ■, Daniel Kofman ■, Ariel Orda, CDC 2020 - 59th IEEE Conference on Decision and Control 2020, Jeju Island / Virtual, Korea, Republic of
		⇣	⇣	Design of a Combinatorial Double Auction for Local Energy Markets, Diego Kiedanski ■, Daniel Kofman ■, Ariel Orda, NetGCooP 2020, Corsica, France
		⇣	⇣	Discrete and stochastic coalitional storage games, Diego Kiedanski ■, Ariel Orda, Daniel Kofman ■, e-Energy 2020, Melbourne, Australia
		⇣		Benchmarks for Grid Flexibility Prediction: Enabling Progress and Machine Learning Applications, Diego Kiedanski ■, Lauren Kuntz, Daniel Kofman ■, International Conference on Learning Representations Workshop: "Tackling Climate Change with Machine Learning" 2020, Addis Ababaa, Ethiopia
			⇣	Efficient distributed solutions for sharing energy resources at the local level: a cooperative game approach, Diego Kiedanski ■, Ana Bušić ■, Daniel Kofman ■, Ariel Orda, CDC 2020
		⇣	⇣	Sensitivity to Forecast Errors in Energy Storage Arbitrage for Residential Consumers, Diego Kiedanski ■, Md Umar Hashmi, Ana Bušić ■, Daniel Kofman ■, SmartGridComm 2019, Beijing, China
		⇣	⇣	The effect of ramp constraints on coalitional storage games, Diego Kiedanski ■, Ariel Orda, Daniel Kofman ■, e-Energy 2019, Phoenix, United States
		⇣	⇣	Exploiting Flexibility in Irrigation While Maintaining Optimal Crop Productivity, Diego Kiedanski ■, Daniel Kofman ■, Ariel Orda, Jose Horta, Alvaro Otero, SmartGridComm 2019, Beijing, China
		⇣	⇣	Strategy-proof local energy market with sequential stochastic decision process for battery control, Diego Kiedanski ■, Daniel Kofman ■, Jose Horta, David Menga, ISGT 2019, Washington DC, United States
			⇣	Youtube traffic from the perspective of a developing country: the case of Uruguay, Diego Kiedanski ■, Mateo Nogueira, Eduardo Grampin, INFOCOM Workshops 2019
			⇣	Optimal Storage Arbitrage under Net Metering using Linear Programming, Md Umar Hashmi, Arpan Mukhopadhyay, Ana Bušić ■, Jocelyne Elias, Diego Kiedanski ■, SmartGridComm 2019
			⇣	The Atlas Vision of IPv6 in Latin America: Topology and Latency, Diego Kiedanski ■, Eduardo Grampin, Ignacio Alvarez Hamelin, LANC 2018
			⇣	Discovering Interconnections between Uruguay and the World Using Popular Internet Traffic, Mateo Nogueira, Diego Kiedanski ■, Eduardo Grampin, SSN 2018
			⇣	Understanding Latin America IPv6 connectivity: A preliminary exploration, Diego Kiedanski, Eduardo Grampin, SCCC 2017

Journal articles

			⇣	Bias in Deep Neural Networks in Land Use Characterization for International Development, Do Hyung Kim, Guzman López, Diego Kiedanski, Iyke Maduako, Braulio Rios, Alan Descoins, Naroa Zurutuza, Shilpa Arora, Christopher Fabian, Remote. Sens. 2021
			⇣	PyMarket - A simple library for simulating markets in Python, Diego Kiedanski ■, Daniel Kofman ■, Jose Horta, J. Open Source Softw. 2020

Misc

			⇣	An Overview of the Data-Loader Landscape: Comparative Performance Analysis, Iason Ofeidis, Diego Kiedanski, Leandros Tassiulas, CoRR 2022
			⇣	Identification of medical devices using machine learning on distribution feeder data for informing power outage response, Paraskevi Kourtza, Maitreyee Marathe, Anuj Shetty, Diego Kiedanski, CoRR 2022
			⇣	Energy storage applications for low voltage consumers in Uruguay, Md Umar Hashmi, Jose Horta, Diego Kiedanski ■, Ana Bušić ■, Daniel Kofman ■, CoRR 2020