In-Memory Technology for Smart Wind Farm Control

Viktor Dmitriyev, Jorge Marx Gómez and Manuel Osmers

With the growth of the economy, population of countries and newly appeared habits of humankind (e.g. mobile devices) energy consumption is continuously increasing. During the last two centuries people all over the word developed very robust techniques for energy production. However, in order to maintain newly appeared tools, the new methods and processes are required. This article demonstrates the ability of the new database technology such as in-memory computing [1] to be able to work with huge amounts of data generated by wind turbines in order to reduce maintenance costs through more detailed predictions mechanisms.


Usability challenges for mobile ERP systems

Khalil Omar, Jorge Marx Gómez

Todays, businesses have become increasingly reliant on information systems (IS) to support their business processes [1]. Enterprise applications are examples of using information systems in businesses, in order to become more flexible and productive [2]. One of the common examples of enterprise applications in practice are enterprise resource planning systems (ERP) [2]. According to Laudon [2], ERP systems are widely used “to integrate business processes in manufacturing and production, finance and accounting, sales and marketing, and human resources into a single software system. Information that was previously fragmented in many different systems is stored in a single comprehensive data repository where it can be used by many different parts of the business”.