Structured approach to measure performance in construction research and development: performance measurement system development

Purpose of this paper: This study explore Performance Measurement applications within construction research and development (R\&D) to develop a structured approach to measure the performance of collaborative construction R\&D projects during its lifecycle from initiation, conceptualising, development and launch stages and at the project management. Design/methodology/approach: During the exploratory phase of the study, semi-structured interviews and a questionnaire survey were carried out to develop the performance measurement system (PMS). During the explanatory phase, the developed PMS was refined with a series of semi-structured interviews. The data was gathered from principal investigators, researchers and industrial partners involved in collaborative construction R\&D work. Findings: Main finding is the developed PMS to measure the performance of construction R\&D that consists of critical success factors, performance indicators and performance measures during the lifecycle of a R\&D project. Practical implications: The PMS developed through the study provides critical success factors, performance indicators and measures that need to be considered during the construction R\&D projects to measure the performance. Thus, through the implementation of the PMS, this study contributes to practice by assisting the performance improvement within construction R\&D projects. What is original / value of paper?: The developed PMS to measure the performance of construction R\&D project will provide value for those who are engaged in R\&D work (Principle investigators, researcher and industrial partners) to ensure the success of their projects

GATS and the electricity and water sectors

This paper discusses the impact of the GATS agreement of the World Trade Organisation on the electricity and water sectors

Is One Hyperparameter Optimizer Enough?

Hyperparameter tuning is the black art of automatically finding a good combination of control parameters for a data miner. While widely applied in empirical Software Engineering, there has not been much discussion on which hyperparameter tuner is best for software analytics. To address this gap in the literature, this paper applied a range of hyperparameter optimizers (grid search, random search, differential evolution, and Bayesian optimization) to defect prediction problem. Surprisingly, no hyperparameter optimizer was observed to be `best' and, for one of the two evaluation measures studied here (F-measure), hyperparameter optimization, in 50\% cases, was no better than using default configurations. We conclude that hyperparameter optimization is more nuanced than previously believed. While such optimization can certainly lead to large improvements in the performance of classifiers used in software analytics, it remains to be seen which specific optimizers should be applied to a new dataset.Comment: 7 pages, 2 columns, accepted for SWAN1

Determining Utility System Value of Demand Flexibility From Grid-interactive Efficient Buildings

This report focuses on ways current methods and practices that establish the value to electric utility systems of distributed energy resource (DER) investments can be enhanced to determine the value of demand flexibility in grid-interactive efficient buildings that can provide grid services. The report introduces key valuation concepts that are applicable to demand flexibility that these buildings can provide and links to other documents that describe these concepts and their implementation in more detail.The scope of this report is limited to the valuation of economic benefits to the utility system. These are the foundational values on which other benefits (and costs) can be built. Establishing the economic value to the grid of demand flexibility provides the information needed to design programs, market rules, and rates that align the economic interest of utility customers with building owners and occupants. By nature, DERs directly impact customers and provide societal benefits external to the utility system. Jurisdictions can use utility system benefits and costs as the foundation of their economic analysis but align their primary cost-effectiveness metric with all applicable policy objectives, which may include customer and societal (non-utility system) impacts.This report suggests enhancements to current methods and practices that state and local policymakers, public utility commissions, state energy offices, utilities, state utility consumer representatives, and other stakeholders might support. These enhancements can improve the consistency and robustness of economic valuation of demand flexibility for grid services. The report concludes with a discussion of considerations for prioritizing implementation of these improvements

Finding and filling the gaps in the Australian governments\u27 innovation and entrepreneurship support spectra

A national innovation system is concerned with the full process of converting new knowledge into commercially viable results. Governments are policy-active in trying to create productive national innovation systems. This paper reviews ways of thinking about entrepreneurship as the commercialisation component of Australia&rsquo;s innovation system. The paper explores the impact and relevance of selected existing Australian Commonwealth, and to a lesser extent State government, programs for the commercialisation channels so identified, using four frameworks for the analysis: financial, management/start-up, innovation and entrepreneurial. The analysis indicates program initiatives covering the later development and commercialization phases, but serious gaps in the support available for the entrepreneurship phase involving the act of new entry. This gap is covered by research provider business development people and to a limited extent by incubator and State government initiatives. A critical issue has been and is access to smaller amounts of seed finance. The critical human component is the education of public servants and politicians about the nature and operation of entrepreneurship.<br /

Lessons Learned and Next Steps in Energy Efficiency Measurement and Attribution: Energy Savings, Net to Gross, Non-Energy Benefits, and Persistence of Energy Efficiency Behavior

This white paper examines four topics addressing evaluation, measurement, and attribution of direct and indirect effects to energy efficiency and behavioral programs: Estimates of program savings (gross); Net savings derivation through free ridership / net to gross analyses; Indirect non-energy benefits / impacts (e.g., comfort, convenience, emissions, jobs); and, Persistence of savings