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This paper aims to propose a simplified model of vanadium redox flow batteries (VRBs) for VRB energy storage system (ESS) design considering the operational characteristics of VRB, and a VRB ESS, considering the low terminal voltage of VRB, was presented.

According to the designed topology of VRB ESS and the simplified model of VRB, a small perturbation analysis method was used to establish the transfer function of VRB ESS, and the controller parameters of VRB ESS under constant charging and discharging current were designed.

Test results have demonstrated that this designed VRB ESS has fast response, small overshoot, strong adaptation and high steady precision, which strongly verified the reasonable design.

This simplified model of VRB can be suitably used for VRB ESS design. This designed VRB ESS realized the bidirectional power flow of VRB and AC grid. In this designed VRB ESS, phase-shifted full-bridge converter and a single-phase inverter were used and VRB was charged and discharged under constant current.

The paper presents a topology of VRB ESS which can realize the bidirectional power flow of VRB and AC grid. Considering the complexity of VRB model, a simplified model of VRB was proposed for the controller parameters design of VRB ESS, and this method can be used in application.

In Malaysia, a vertical residential building (VRB) is still facing challenges associated with property management. The lack of experience in property management resulted in the management, acting unprofessionally that cause a lot of problems to the homeowners and their properties. The findings demonstrated that maintenance of the facilities and common areas in a VRB is essential to ensure its optimal performance over its life cycle. This has to be carried out efficiently and professionally by the qualified property manager. Unfortunately, not every property manager can perform all the tasks efficiently and professionally. Thus, this leads to an increasing number of complaints by unsatisfied homeowners’ particularly on the maintenance and management of the buildings and facilities. To satisfy the homeowners, the issue of transparency is one of the area concerns that need to be emphasised in the property management system practiced in Malaysia. This case study area of Klang Valley poses as one of the urban areas that has the highest number of vertical buildings, especially the medium cost of VRB. The purpose of this study is to explore the satisfaction level of homeowners towards the management system, maintenance services and facilities provided by the management of the medium cost VRB in the Klang Valley.

The study adopted a quantitative approach. The survey method was used as an appropriate method for inquiry of the data. Face to face survey was conducted with respondents at a medium-cost residential building in Klang Valley, Malaysia.

The findings demonstrated that homeowners living in medium-cost VRB in Klang Valley are satisfied and faced issues with the management system, maintenance service and services provided by the management of the medium-cost VRB. The only issue confronted by the homeowners with the medium-cost VRB is the commitment of the management towards their involvement in organising the activities, problem-solving and taking action on residents’ reports or complaints.

The findings suggest that appointing qualified property managers who understand property management has increased the performance of the management team. Most importantly, qualified property managers are equipped with knowledge in managing people, especially to create awareness on a sense of responsibility and belonging.

This study has bridged the research gap on property management of the medium-cost of VRB in Malaysia. This will add value to the management of the medium cost of VRB.

This chapter extends the univariate forecasting method proposed by Wang, Luc, and Hsiao (2013) to forecast the multivariate long memory model subject to structural breaks. The approach does not need to estimate the parameters of this multivariate system nor need to detect the structural breaks. The only procedure is to employ a VAR(k) model to approximate the multivariate long memory model subject to structural breaks. Therefore, this approach reduces the computational burden substantially and also avoids estimation of the parameters of the multivariate long memory model, which can lead to poor forecasting performance. Moreover, when there are multiple breaks, when the breaks occur close to the end of the sample or when the breaks occur at different locations for the time series in the system, our VAR approximation approach solves the issue of spurious breaks in finite samples, even though the exact orders of the multivariate long memory process are unknown. Insights from our theoretical analysis are confirmed by a set of Monte Carlo experiments, through which we demonstrate that our approach provides a substantial improvement over existing multivariate prediction methods. Finally, an empirical application to the multivariate realized volatility illustrates the usefulness of our forecasting procedure.

The purpose of this study is to examine the impact that foreign investment in existing houses and new housing development has on residential house prices and the growth of the housing construction sector.

The analysis is based on a panel cointegration method, estimated using annual data for all Australian states and territories spanning the period of 1990-2013.

The results indicate that increases in foreign investment in existing houses do not significantly lead to increases in house prices. On the other hand, a 10 per cent increase in foreign investment for housing development decreases house prices by 1.95 per cent. We also find that foreign real estate investments have a positive impact on housing construction activities in the long run.

Existing studies used aggregate foreign real estate investment in their analyses. As foreign investment in existing houses and foreign investment for housing development have different impacts on the demand and supply sides of housing market, it is crucial that the analysis of the effects of foreign investment in residential properties on real estate market is conducted for each type differently.

The current study is to examine the association between cognitive abilities and financial resilience among millennial single parents. This study examines the role of cognitive abilities on financial resilience after controlling for key demographic variables – gender, age, university degree, employment status and staying with parents.

Using the ordered logit regression approach, the authors analyzed results for 395 single parents (237 single mothers and 159 single fathers) aged 31 to 40 in India. Financial resilience is measured using economic resources, financial resources, financial knowledge and behavior, and social capital. The authors further provide several robustness tests to validate their findings. The results are controlled for state-fixed effects.

The authors find a significant impact of single parents' cognitive abilities on their financial resilience. This study also found that gender, age, university degree, employment status and staying with parents influence single parents' financial resilience. Single mothers are found to have higher levels of both cognitive abilities and financial resilience scores than single fathers.

Financial institutions, marketers and financial advisors can find innovative ways to increase the financial resilience of single parents by improving their cognitive ability. Also, policymakers should focus on interventions to increase single parents' education level to increase their financial resilience and provide policy support to those without any parental support system.

This study extends the literature on financial resilience in two directions – by establishing a relationship between cognitive abilities and financial resilience and studying the financial resilience of a vulnerable societal section-millennial single parents. The study also extends the literature on single parents' financial vulnerability by establishing a relationship between key demographic variables and their financial resilience.

The purpose of this paper is to show the main features of the redox flow battery technology, present the current state-of-the-art of both industrial and research systems and to highlight the main research challenges.

The study is based on an extensive survey of recent literature as well as on the authors' own experience in the modelling of RFB systems.

RFBs present unique features which make them suitable for distributed storage and thus particularly interesting in the context of smart grids. Current research aims at resolving some outstanding issues which still limit the widespread use of RFBs.

A more widespread use of energy storage technologies, and RFBs in particular, will allow a much higher penetration of renewable energy sources.

The paper presents one of the few comprehensive studies on RFBs including both technological and modelling aspects.

This paper brings up the regulatory environment for valuation and estate agency practices in Kenya. Its main purpose is to assess the regulatory institutions to determine whether consumers of real estate services are protected from risks in the property market and to compare Kenya's situation to other markets in the world.

This is a qualitative study of institutions including bodies and laws that are involved in the regulation of valuation and estate agency practices in Kenya, using document analysis method. The roles of professional body, the Institution of Surveyors of Kenya and the registration bodies, the Valuers Registration Board and the Estate Agency Registration Boards and attendant statutes, the Valuers Act and the Estate Agents Act are reviewed to gain insights into the regulation practice in Kenya. Benchmarking is done using regulatory practices in the United Kingdom and the USA.

Concerning valuation, Kenya uses a hybrid system combining the United Kingdom's self-regulation approach and the USA's state regulation approach. The co-regulation approach is working well for valuation practice in Kenya. On the other hand, the regulatory system for estate agents is weak because of limited powers of enforcement, thereby allowing an unknown number of agents to practise outside the regulatory framework.

The paper is unique in its subject matter as it evaluates the external organization (regulatory) environment of professional services firms (PSFs) in the real estate market. Existing studies have been done mainly by management scholars focussing on the internal organization environment of PSFs in general. Secondly, the study brings up to the international audience the regulatory system and practice in the real estate professional services market. This has not been done for Kenya and perhaps for many other countries. Lastly, it makes a novel recommendation that emphasis should be placed on registration and regulation of PSFs rather than individual practitioners to enhance quality in the provision of services where real estate agency is concerned.

Over the past years, many studies have explored the role of knowledge management (KM) in companies. KM is concerned with the measurement of knowledge to manage knowledge efficiently. On the other hand, the intangible nature of knowledge makes its measurement challenging. Furthermore, there is no standardized method to measure knowledge, and it is chiefly measured based on the subjective judgment of researchers. Moreover, New Product Development (NPD) departments in many companies strive to assess their knowledge in terms of company products and knowledge workers. Hence, this study aims to propose a product-based two-phase technique that measures the company knowledge inventory.

In the first phase, the value of knowledge is quantified relative to products, knowledge workers and the entire company using two concepts of knowledge width and depth. Then, a three-dimensional knowledge asset map (knowledge, products and knowledge worker dimensions) is designed to assess and audit knowledge workers. Finally, this technique recruits an integer linear programming model with a cost minimization objective function to optimize the supply of NPD knowledge requirements in the second phase.

This model enables managers to determine what type of knowledge can be supplied by existing knowledge workers, whether within the company or by other external sources.

Among existing knowledge measurement methods, only a few use a product-based measuring technique. However, they fail to offer suitable scenarios for managers' decision-making process and consider cost structures in measurement techniques. Hence, this paper attempts to overcome these drawbacks.

The purpose of this paper is to classify students into clusters at class level according to their preferred learning styles by using group technology.

The Felder and Silverman index of learning styles is used to determine the preferred learning styles of the students, then similarity-coefficient analysis is used to group students into clusters based on the similarity of their preferences.

Using this approach would allow the instructor to use a teaching style suitable for the students in order to achieve the intended learning outcomes.

This is an original research with promising findings to help educators using this approach to achieve the intended learning outcomes.