Search results

The purpose of this study is to develop an optimization method for charging plans with the implementation of time-of-day (TOD) electricity tariff, to reduce electricity bill.

Two optimization models for charging plans respectively with fixed and stochastic trip travel times are developed, to minimize the electricity costs of daily operation of an electric bus. The charging time is taken as the optimization variable. The TOD electricity tariff is considered, and the energy consumption model is developed based on real operation data. An optimal charging plan provides charging times at bus idle times in operation hours during the whole day (charging time is 0 if the bus is not get charged at idle time) which ensure the regular operation of every trip served by this bus.

The electricity costs of the bus route can be reduced by applying the optimal charging plans.

This paper produces a viable option for transit agencies to reduce their operation costs.

GDP growth, money growth and inflation are essential to an economy's macroeconomic stability and have a direct impact on the policymaking process. Sri Lanka is currently concerned about high inflation. Inflation is a monetary phenomenon. Inflation has been caused by monetary policy in several nations. According to the economic theories of Karl Marx, Irving Fisher and Milton Friedman, a continuous increase in the money supply causes inflation. This paper aims to investigate the relationship between Sri Lanka's GDP growth, money growth and inflation.

An econometric model and the economic theories of Fisher and Friedman are used to figure out how money supply, inflation and economic growth are linked. Between 1990 and 2021, data were gathered from secondary sources.

The increase in the money supply is found to cause inflation. Inflation has negative effects on both short- and long-term economic growth. Long-term, the increase in money supply has a negative effect on economic growth.

According to research, the money supply and inflation are inextricably linked, and the money supply has a direct impact on economic growth. As a result, the government should have an appropriate monetary policy and proposals to control inflation levels and stimulate economic growth.

The paper adds to the existing literature in two ways. First, it fills in the lack of studies in Sri Lanka, where there are no papers on this important relationship, especially with a modern econometric study. Second, it tries to shed light on the asymmetric shocks (both positive and negative shocks and changes) between the three variables, which was not done in previous studies.

This study aims to explore the implementation of artificial intelligence (AI) in archival practice by presenting the thoughts and opinions of working archival practitioners. It contributes to the extant literature with a fresh perspective, expanding the discussion on AI adoption by investigating how it influences the perceptions of digital archival expertise.

In this study a two-phase data collection consisting of four online focus groups was held to gather the opinions of international archives and digital preservation professionals (n = 16), that participated on a volunteer basis. The qualitative analysis of the transcripts was performed using template analysis, a style of thematic analysis.

Four main themes were identified: fitting AI into day to day practice; the responsible use of (AI) technology; managing expectations (about AI adoption) and bias associated with the use of AI. The analysis suggests that AI adoption combined with hindsight about digitisation as a disruptive technology might provide archival practitioners with a framework for re-defining, advocating and outlining digital archival expertise.

The volunteer basis of this study meant that the sample was not representative or generalisable.

Although the results of this research are not generalisable, they shed light on the challenges prospected by the implementation of AI in the archives and for the digital curation professionals dealing with this change. The evolution of the characterisation of digital archival expertise is a topic reserved for future research.