My Journey with Intelligent Decision Support Systems
Georgios Chasparis
The Twin4Twin (T4T) project, funded under the Widening programme of Horizon Europe, aims to accelerate the adoption of digital twin technologies for smart manufacturing by fostering knowledge exchange, advanced research, and strong industrial ecosystems across Europe. A key contributor to this effort is SCCH (Software Competence Center Hagenberg), whose role spans both strategic capacity building... Continue Reading →
This short article/presentation was presented as part of the Digital Twin Best Practice Workshop organized by the Swiss Smart Factory and the Horizon Europe project Twin4Twin. In this presentation, I provided an overview of three main challenges in the integration of Data-based Digital Twins in Process Industry motivated by a series of recent projects of... Continue Reading →
PaRLSched is a C++ library for optimally scheduling parallel threads in a many-core platform using distributed reinforcement learning (and more specifically, perturbed learning automata). It explores recent advancements of game-theoretic learning techniques and reinforcement learning for asymptotically converging to efficient allocations. In particular, it exploits real-time measurements of the performances of the computing threads, and... Continue Reading →
The need for accurate balancing in electricity markets and a larger integration of renewable sources of electricity require accurate forecasts of electricity loads in residential buildings. In this paper, we consider the problem of short-term (one-day ahead) forecasting of the electricity-load consumption in residential buildings. In order to generate such forecasts, historical electricity consumption data... Continue Reading →
Recently, I published a paper on marketing energy flexibility, available in groups of Photovoltaic (PV)-battery-storage systems, in the Day-ahead (whole-sale) electricity market. This paper is part of the Flex+ project: https://www.flexplus.at/. Such optimization problem consists of two subproblems: a) which amounts of energy should we trade over the next day (usually in 15min granularity), b)... Continue Reading →
A recently published article in boerse-express.com discusses our research at Software Competence Center Hagenberg for green energy in the Flex+ project. The full article can be found here: https://boerse-express.com/news/articles/datengetriebene-forschung-fuer-gruene-energie-157541
COGNIPLANT project will develop and demonstrate an innovative approach for the advanced digitization and intelligent management of the process industries. This approach will be based on a novel vision to data monitoring and analysis, that will make the most of the latest developments on advanced analytics and cognitive reasoning, coupled with a disruptive use of... Continue Reading →
Recently, and as part of the Flex+ FFG Project in Austria, we have conducted research with respect to the energy exchange that Photovoltaic-Battery systems (usually available in residential buildings) can provide to the Day-ahead electricity market (in the form of 15-min interval schedules). The results of this research have now been published at the Energy... Continue Reading →
Flex+ aims at the development of concepts and methodologies for direct control of flexibility components in groups of residential buildings. Such flexibility components may include technologies such as heat pumps, boilers, battery-storage systems or electric vehicles. In particular, an aggregator is responsible for directly controlling one or more of these technologies and optimizes the amount... Continue Reading →
Just discovered that my presentation on "Information Flow and Active Influence in Social Networks," given on May 30th, 2011, at MIT, has been recorded and can be found here. For those interested, this presentation was based upon my recent work on "Control of Preferences in Social Networks", a preliminary draft of which can be found... Continue Reading →
My Journey with Intelligent Decision Support Systems 