A
Alberto Leon-Garcia
Researcher at University of Toronto
Publications - 369
Citations - 12417
Alberto Leon-Garcia is an academic researcher from University of Toronto. The author has contributed to research in topics: Cloud computing & Quality of service. The author has an hindex of 37, co-authored 363 publications receiving 11422 citations.
Papers
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Journal ArticleDOI
Autonomous Demand-Side Management Based on Game-Theoretic Energy Consumption Scheduling for the Future Smart Grid
Amir-Hamed Mohsenian-Rad,Vincent W. S. Wong,Juri Jatskevich,Robert Schober,Alberto Leon-Garcia +4 more
TL;DR: This paper presents an autonomous and distributed demand-side energy management system among users that takes advantage of a two-way digital communication infrastructure which is envisioned in the future smart grid.
Journal ArticleDOI
Optimal Residential Load Control With Price Prediction in Real-Time Electricity Pricing Environments
TL;DR: Simulation results show that the combination of the proposed energy consumption scheduling design and the price predictor filter leads to significant reduction not only in users' payments but also in the resulting peak-to-average ratio in load demand for various load scenarios.
Book
Communication Networks
TL;DR: This book is designed for introductory one-semester or one-year courses in communications networks in upper-level undergraduate programs and assumes a general knowledge of computer systems and programming, and elementary calculus.
Journal ArticleDOI
Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video
K. Sharifi,Alberto Leon-Garcia +1 more
TL;DR: A simple alternative method to estimate the shape parameter for the generalized Gaussian PDF is proposed that significantly reduces the number of computations by eliminating the need for any statistical goodness-of-fit test.
Book
Probability Statistics and Random Processes for Electrical Engineering
TL;DR: In this paper, the authors present an axiomatic approach to a theory of probability, based on the axiomatization of probability models, for the analysis and design of wireless networks.