T
Tharam S. Dillon
Researcher at La Trobe University
Publications - 836
Citations - 14887
Tharam S. Dillon is an academic researcher from La Trobe University. The author has contributed to research in topics: Ontology (information science) & Artificial neural network. The author has an hindex of 53, co-authored 833 publications receiving 13912 citations. Previous affiliations of Tharam S. Dillon include Information Technology University & Monash University.
Papers
More filters
Proceedings ArticleDOI
Cloud Computing: Issues and Challenges
TL;DR: This paper first discusses two related computing paradigms - Service-Oriented Computing and Grid computing, and their relationships with Cloud computing, then identifies several challenges from the Cloud computing adoption perspective.
Journal ArticleDOI
Electricity price short-term forecasting using artificial neural networks
TL;DR: In this article, the authors presented the system marginal price (SMP) short-term forecasting implementation using the artificial neural networks (ANN) computing technique, using the three-layered ANN paradigm with backpropagation.
Journal ArticleDOI
Integer Programming Approach to the Problem of Optimal Unit Commitment with Probabilistic Reserve Determination
TL;DR: A method for determining the unit commitment schedule for hydro-thermal systems using extensions and modifications of the Branch and Bound method for Inteler Programming has been developed and significant features include its computational practicability for realistic systems and proper representation of reserves associated with different risk levels.
Journal ArticleDOI
Neural-Network-Based Models for Short-Term Traffic Flow Forecasting Using a Hybrid Exponential Smoothing and Levenberg–Marquardt Algorithm
TL;DR: A novel neural network (NN) training method that employs the hybrid exponential smoothing method and the Levenberg-Marquardt (LM) algorithm, which aims to improve the generalization capabilities of previously used methods for training NNs for short-term traffic flow forecasting.
Journal ArticleDOI
The New Frontier of Smart Grids
TL;DR: In this article, the authors introduce the main concepts and technological challenges of smart grids and present the authors' views on some required challenges and opportunities pre sented to the IEEE Industrial Electronics Society (IES) in this new and exciting frontier.