Recent developments around the Smart Grid promise more efficient power generation and distribution. In contrast to the current design of the electricity grid, the Smart Grid is heavily based on IT for managing communication flows. Given the large number of market participants, data exchanged should be marked up in a way that facilitates flexible modelling, extension and integration. In addition...

Flow control refers to the idea of analyzing and modifying the behavior of fluid flows in order to achieve a desired outcome. In this paper we review the history and current state of the art in flow control. Various past and present techniques are categorized and discussed.

because of its extensive applications in financial analysis, stock market volatility modeling is a significantly important issue for stock market practitioners and academicians. using garch models to formulate the conditional variance heteroskedasticity and the taking advantages of panel data technique such as higher degrees of freedom, more flexibility in the control of the omitted or unobserv...

Machine learning is increasingly prevalent in stock market trading. Though neural networks have seen success in computer vision and natural language processing, they have not been as useful in stock market trading. To demonstrate the applicability of a neural network in stock trading, we made a single-layer neural network that recommends buying or selling shares of a stock by comparing the high...

The paper relates how some key IT applications were developed in Iceland following the introduction of the first computers in 1964. The key applications treated are the National Register of Persons, real estate assessment, financial systems, centralised processing of bank checks, fish stock abundance computations, IT in fish processing plants, the control of hydroelectric power stations, and th...