Real-time price based home energy management scheduler

With the recent development of advanced metering infrastructure, real-time pricing (RTP) scheme is anticipated to be introduced in future retail electricity market. This paper proposes an algorithm for a home energy management scheduler (HEMS) to reduce the cost of energy consumption using RTP. The proposed algorithm works in three subsequent phases namely real-time monitoring (RTM), stochastic scheduling (STS) and real-time control (RTC). In RTM phase, characteristics of available controllable appliances are monitored in real-time and stored in HEMS. In STS phase, HEMS computes an optimal policy using stochastic dynamic programming (SDP) to select a set of appliances to be controlled with an objective of the total cost of energy consumption in a house. Finally, in RTC phase, HEMS initiates the control of the selected appliances. The proposed HEMS is unique as it intrinsically considers uncertainties in RTP and power consumption pattern of various appliances. In RTM phase, appliances are categorized according to their characteristics to ease the control process, thereby minimizing the number of control commands issued by HEMS. Simulation results validate the proposed method for HEMS.

kmth price sealed-bid auctions with general independent values and equilibrium linear mark-ups

A generalised bidding model is developed to calculate a bidder’s expected profit and auctioners expected revenue/payment for both a General Independent Value and Independent Private Value (IPV) kmth price sealed-bid auction (where the mth bidder wins at the kth bid payment) using a linear (affine) mark-up function. The Common Value (CV) assumption, and highbid and lowbid symmetric and asymmetric First Price Auctions and Second Price Auctions are included as special cases. The optimal n bidder symmetric analytical results are then provided for the uniform IPV and CV models in equilibrium. Final comments concern implications, the assumptions involved and prospects for further research.

Who is seeing the dietitian? we are only seeing the tip of the iceberg

Poor dietary choices are associated with overweight and obesity and the development of chronic conditions. Over 12 million (~60%) Australians are currently overweight or obese. Accredited Practicing Dietitians (APDs) are the experts in nutrition and diet therapy, equipped to provide services and counselling to assist individuals in making dietary modifications to prevent or manage diet-related conditions. However, no existing research has investigated the proportion or characteristics of the Australian population that may be accessing APDs. Data from 25,906 participants in the 2004/05 National Health Survey (NHS) were analysed using logistic regression to identify the sociodemographic and health characteristics of individuals accessing an APD or Nutritionist. Only 0.4% (n = 105) of the sample reported accessing a Dietitian or Nutritionist, this was half the amount accessing a Naturopath. Diabetes Mellitus, cardiovascular disease and obesity were all significantly associated with having seen a Dietitian, and over 90% of those accessing services had a long-term condition. Of the total sample only 10% of those with a diet-related condition had seen an APD or Nutritionist. Household income and education were not associated with accessing an APD. Exploration around the barriers to referral and accessing services may be warranted to assist in enhancing the profile of APDs among the population and other healthcare professionals. The current number of approximately 5000 registered APDs is unlikely to be able to service the proportion of the population who require dietary intervention; further avenues for prevention, rather than acute treatment, and novel strategies for service provision also need to be explored.

Sustainability Non-Price Incentives and Rewards: A Collaborative Procurement Perspective

Construction scholars suggest that procurement processes can be used as mechanisms to change construction industry practices. This paper discusses industry changes as a response to the calls for integration of sustainability ideals into construction practices. Because major infrastructure construction has been identified as a key producer of greenhouse gas emissions (GHGE), this study explores collaborative procurement models that have been used to facilitate mitigation of GHGE. The study focuses on the application of non-price incentives and rewards that work together as a binary mechanism. Data were collected using mixed-methods: government document content analysis was complemented with data collected through focus groups and individual interviews with both clients and contractors. This report includes examples of greening procurement agendas for three Australian road authorities relating to collaborative procurement project delivery models. Three collaborative procurement models, Alliance Consortium, Early Contractor Involvement and Public Private Partnerships provide evidence of construction projects that were completed early. It can also be argued that both clients and contractors are rewarded through collaborative project delivery. The incentive of early completion is rewarded with reduction of GHGE. This positive environmental outcome, based on a dual benefit and non-price sustainability criteria, suggests a step towards changed industry practices though the use of green procurement models.

A stakeholder analysis of one institution’s assuring learning experience – is the promise and the practice worth the price?

Universities around the world are rushing to implement assurance of learning policies and practices with varying degrees of success. One School investigated its own policy and practice development through the eyes of its key stakeholders to identify whether the practice was worth the price. Findings indicate that although the key stakeholders considered different needs and viewed their experiences differently, value did abound and was in the eye of the beholder.

‘Only a pawn in their game’ : crime, risk and politics in the case of Robert Fardon

In 2003 Robert Fardon was the first prisoner to be detained under the Dangerous Prisoners (Sexual Offenders) Act 2003 (Qld), the first of the new generation preventive detention laws enacted in Australia and directed at keeping sex offenders in prison or under supervision beyond the expiry of their sentences where a court decides, on the basis of psychiatric assessments, that unconditional release would create an unacceptable risk to the community. A careful examination of Fardon’s case shows the extent to which the administration of the regime was from the outset governed by politics and political calculation rather than the logic of risk management and community protection. In 2003 Robert Fardon was the first person detained under the Dangerous Prisoners (Sexual Offenders) Act 2003 (Qld) (hereafter DPSOA), a newly enacted Queensland law aimed at the preventive detention of sex offenders. It was the first of a new generation of such laws introduced in Australia, now also in force in NSW, Western Australia and Victoria. The laws have been widely criticized by lawyers, academics and others (Keyzer and McSherry 2009; Edgely 2007). In this article I want to focus on the details of how the Queensland law was administered in Fardon’s case, he being perhaps the most well-known prisoner detained under such laws and certainly the longest held. It will show, I hope, that seemingly abstract rule of law principles invoked by other critics are not simply abstract: they afford a crucial practical safeguard against the corruption of criminal justice in which the ends both of community protection and of justice give way to opportunistic exploitation of ‘the mythic resonance of crime and punishment for electoral purposes’ (Scheingold 1998: 888).

Histogram matching and global initialization for laser-only SLAM in large unstructured environments

This paper presents an enhanced algorithm for matching laser scan maps using histogram correlations. The histogram representation effectively summarizes a map's salient features such that pairs of maps can be matched efficiently without any prior guess as to their alignment. The histogram matching algorithm has been enhanced in order to work well in outdoor unstructured environments by using entropy metrics, weighted histograms and proper thresholding of quality metrics. Thus our large-scale scan-matching SLAM implementation has a vastly improved ability to close large loops in real-time even when odometry is not available. Our experimental results have demonstrated a successful mapping of the largest area ever mapped to date using only a single laser scanner. We also demonstrate our ability to solve the lost robot problem by localizing a robot to a previously built map without any prior initialization.

Energy efficient home with price sensitive stochastically programmable TCAs

Introduction of dynamic pricing in present retail market, considerably affects customers with an increased cost of energy consumption. Therefore, customers are enforced to control their loads according to price variation. This paper proposes a new technique of Home Energy Management, which helps customers to minimize their cost of energy consumption by appropriately controlling their loads. Thermostatically Controllable Appliances (TCAs) such as air conditioner and water heater are focused in this study, as they consume more than 50% of the total household energy consumption. The control process includes stochastic dynamic programming, which incorporated uncertainties in price and demand variation. It leads to an accurate selection of appliance settings. It is followed by a real time control of selected appliances with its optimal settings. Temperature set points of TCAs are adjusted based on price droop which is a reflection of actual cost of energy consumption. Customer satisfaction is maintained within limits using constraint optimization. It is showed that considerable energy savings is achieved.

Retrieving trip information from a discrete detectors network : The case of Brisbane Bluetooth detectors

Automatic Vehicle Identification Systems are being increasingly used as a new source of travel information. As in the last decades these systems relied on expensive new technologies, few of them were scattered along a networks making thus Travel-Time and Average Speed estimation their main objectives. However, as their price dropped, the opportunity of building dense AVI networks arose, as in Brisbane where more than 250 Bluetooth detectors are now installed. As a consequence this technology represents an effective means to acquire accurate time dependant Origin Destination information. In order to obtain reliable estimations, however, a number of issues need to be addressed. Some of these problems stem from the structure of a network made out of isolated detectors itself while others are inherent of Bluetooth technology (overlapping detection area, missing detections,\...). The aim of this paper is threefold: First, after having presented the level of details that can be reached with a network of isolated detectors we present how we modelled Brisbane's network, keeping only the information valuable for the retrieval of trip information. Second, we give an overview of the issues inherent to the Bluetooth technology and we propose a method for retrieving the itineraries of the individual Bluetooth vehicles. Last, through a comparison with Brisbane Transport Strategic Model results, we highlight the opportunities and the limits of Bluetooth detectors networks. The aim of this paper is twofold. We first give a comprehensive overview of the aforementioned issues. Further, we propose a methodology that can be followed, in order to cleanse, correct and aggregate Bluetooth data. We postulate that the methods introduced by this paper are the first crucial steps that need to be followed in order to compute accurate Origin-Destination matrices in urban road networks.

ATAR scores only part of the picture for teaching

A common debate has resurfaced over teacher quality and the quality of teacher education in Australia. This time it was started by a leaked draft report into teacher education from the Australian Institute of Teaching and School Leadership (AITSL) which the public can’t expect to see for at least another month. Media reports have all focused on one aspect of the wide-ranging report: teaching students' ATARs.

Developer charges and housing affordabilty in Brisbane, Australia

Purpose - This paper empirically examines the effect of developer charges on housing affordability in Brisbane, Australia. Developer paid fees or charges are a commonly used mechanism for local governments to pay for new urban infrastructure. Despite numerous government reports and many years of industry advocacy, there remains no empirical evidence in Australia to confirm or quantify passing on of these charges to home buyers. Design/methodology/approach - This research applies a hedonic house price model to 4,699 new and 25,053 existing house sales in Brisbane from 2005 to 2011. Findings – The findings of is research are consistent with international studies that support the proposition that developer charges are over passed. This study has provided evidence that suggest developer charges are over passed to both new and existing homes in the order of around 400%. Research limitations/implications - These findings suggest that developer charges are thus a significant contributor to increasing house prices and reduced housing affordability. Practical/Social Implications: By testing this effect on both new and existing homes, this research provides evidence in support of the proposition that not only are developer charges over passed to new home buyers but also to buyers of existing homes. Thus the price inflationary effect of these developer charges are being felt by all home buyers across the community, resulting in increased mortgage repayments of close to $1000 per month. Originality/value - This is the first study to empirically examine the impact of developer charges on house prices in Australia. These results are important as they will inform governments on the outcomes of growth management strategies on housing affordability, providing the first evidence of its kind in Australia.

De-risking development of medium density housing to improve housing affordability and boost supply

Housing price inflation is a national concern given the serious decline in the number of low and middle income households able to purchase housing. In addition housing supply lags well behind demand. In Melbourne, urban consolidation policies explicitly seek intensification to promote housing supply but planning regulation is often criticised for being a significant cost driver for medium density housing. It is assumed that easing supply constraints will improve affordability. We suggest that laissez-faire planning exacerbates affordability issues because this approach fails to address the basic economic problem: the current inability of the market to efficiently match supply and demand in order to progress an orderly and de-risked development process. The role of “exchange” one of the four housing market sub-systems identified by Burke (2012) has until recently generally been ignored but our examination reveals significant economic transaction costs that manifest as development risks that impact on affordability. Fortunately these can be mitigated, but only if there is a more consumer driven supply response.

The high price of drug patents: Australia, patent law, pharmaceutical drugs and the Trans-Pacific Partnership

This week, the secrecy surrounding an independent Australian report on patent law and pharmaceutical drugs has been lifted, and the work has been published to great acclaim...