Adelaide Research & Scholarship

Adelaide Research & Scholarship (AR&S) is the University of Adelaide’s digital repository. AR&S provides a platform for the collection, organisation, access and preservation of the research and scholarly outputs of the University community in digital formats, as well as digital management of information in physical formats.

University of Adelaide higher degree by research theses are deposited into the AR&S Theses community as part of the final thesis lodgement process.

AR&S also serves as the home of the digital collections of University Library Archives and Special Collections. Items include digitized representations of physical items, such as photographs and full texts, and digital-born materials, allowing worldwide access to our heritage and research collections.

Are you a University of Adelaide researcher who would like your publications in AR&S? See our support page.

Contact us. Please email Library Discovery.

 

Communities in Adelaide Research & Scholarship

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Recent Submissions

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The Bearcat
(Picador Australia, 2025) Phillips, G.R.
The Bearcat is a dark and nuanced exploration of longing, power and the inviolable grip of history.
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Compensatory discrimination jurisprudence in Constitution
(Ideal Institute of Management and Technology, 2013) Bhanu, A.P.
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Effective impact of National Green Tribunal towards Environment in India
(The Maharaja Sayajirao University of Baroda Press (Sadhana Press), 2022) Tomar, R.; Bhanu, A.P.
In recent years, India's environmental justice system has seen a significant shift, as there has been a rise in knowledge regarding the true relevance of environmental protection and a continual and quick expansion in the number of environmental courts and tribunals. This study will largely examine the origins of the National Green tribunal and how it influences the variables that contribute to environmental justice. This is a study of the leading case laws and precedents that have led to the current situation of India's environmental legislation. The purpose of this research paper is to demonstrate the significance and rationale behind the establishment of the National Green Tribunal in India. The study will also examine the Green Tribunal's primary and secondary goals and characteristics, as well as when and how these characteristics are deployed to accomplish environmental justice. In doing so, this paper will not only provide a detailed analysis of the major case laws of India's environmental laws, but it will also shed light on the significant difference made by the Green Tribunal in the field of environmental law and how its rules and regulations will provide security for future environmental injustice issues. This article will also discuss the Green Court's key elements, jurisdiction, and jurisdictional power, as well as how the tribunal might strengthen its position in the Indian Legal System in order to provide better and more expedient environmental justice.
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Introducing dynamic demand response in the LFC model
(IEEE-Inst Electrical Electronics Engineers Inc., 2014) Pourmousavi, S.A.; Nehrir, M.H.
Demand response (DR) has proved to be an inevitable part of the future grid. Much research works have been reported in the literature on the benefits and implementation of DR. However, little works have been reported on the impacts of DR on dynamic performance of power systems, specifically on the load frequency control (LFC) problem. This paper makes an attempt to fill this gap by introducing a DR control loop in the traditional LFC model (called LFC-DR) for a single-area power system. The model has the feature of optimal operation through optimal power sharing between DR and supplementary control. The effect of DR communication delay in the controller design is also considered. It is shown that the addition of the DR control loop increases the stability margin of the system and DR effectively improves the system dynamic performance. Simulation studies are carried out for single-area power systems to verify the effectiveness of the proposed method.
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Very short-term wind speed prediction: A new artificial neural network-Markov chain model
(Pergamon-Elsevier Science Ltd, 2011) Pourmousavi Kani, S.A.; Ardehali, M.M.
As the objective of this study, artificial neural network (ANN) and Markov chain (MC) are used to develop a new ANN–MC model for forecasting wind speed in very short-term time scale. For prediction of very short-term wind speed in a few seconds in the future, data patterns for short-term (about an hour) and very short-term (about minutes or seconds) recorded prior to current time are considered. In this study, the short-term patterns in wind speed data are captured by ANN and the long-term patterns are considered utilizing MC approach and four neighborhood indices. The results are validated and the effectiveness of the new ANN–MC model is demonstrated. It is found that the prediction errors can be decreased, while the uncertainty of the predictions and calculation time are reduced.