The sheer number of alternative technologies and measures make the optimal planning of energy system transformations highly complex, requiring decision support from mathematical optimisation models. Due to the high computational expenses of these models, only individual case studies are usually...

Research attention on decentralized autonomous energy systems has increased exponentially in the past three decades, as demonstrated by the absolute number of publications and the share of these studies in the corpus of energy system modelling literature. This paper shows the status quo and...

Research attention on decentralized autonomous energy systems has increased exponentially in the past three decades, as demonstrated by the absolute number of publications and the share of these studies in the corpus of energy system modelling literature. This paper shows the status quo and...

The power industry is being severely disrupted globally and local industry stakeholders have every reason to be worried. The question is how stakeholder capital should henceforth be deployed to reduce the risk of stranded assets. This study is undertaken to assess the impact of power industry...

The power industry is being severely disrupted globally and local industry stakeholders have every reason to be worried. The question is how stakeholder capital should henceforth be deployed to reduce the risk of stranded assets. This study is undertaken to assess the impact of power industry...

RFID technology promises to revolutionize supply chains and usher in a new era of cost savings, efficiency and business intelligence. The use of low cost RFID devices in supply chain management systems has been increasing dramatically. While a lot of research has been carried out in trying to...

In an enterprise grid computing environments, users have access to multiple resources that may be distributed geographically. Thus, resource allocation and scheduling is a fundamental issue in achieving high performance on enterprise grid computing. Most of current job scheduling systems for...

The advent of commodity-based high-performance clusters has raised parallel and distributed computing to a new level. However, in order to achieve the best possible performance improvements for large-scale computing problems as well as good resource utilization, efficient resource management and...