This paper proposes a multi-timescale coordinated operation approach which coordinates the combined heat and power (CHP) plant wind farm in deregulated day-ahead market real-time balancing electricity market. aims to optimize profits of CHP-wind portfolio by considering energy sale penalty two-price Multiple uncertainties load, generation, price, up- down-regulation prices are taken into accoun...

In this paper we propose a method for conducting infrastructure effects-based modeling in uncertain environments. Critical infrastructure is composed of intertwining physical and social networks. Events in one network often cascade to other networks creating a domino effect. This cascading effect is not always well understood due to uncertainties in the multiple levels of effect. To account for...

The paper deals with an application of robust static output feedback control to an exothermic continuous-time stirred tank reactor with parametric uncertainties and multiple steady states. The problem of robust controller design is converted to solution of linear matrix inequalities and a computationally simple non-iterative algorithm is presented. The possibility to use robust static output fe...

Various theoretical uncertainties in the standard solar model and in the Mikheyev-Smirnov-Wolfenstein (MSW) analysis are discussed. It is shown that two methods of estimating the solar neutrino flux uncertainties are equivalent: (a) a simple parametrization of the uncertainties using the core temperature and the nuclear production cross sections; (b) the Monte Carlo method of Bahcall and Ulrich...

Previous work on odour localisation in enclosed environments, relying on an airflow model, has faced significant limitations due to the fact that large differences between airflow topologies are predicted for only small variations in a physical map. This is due to uncertainties in the map and approximations in the modelling process. Furthermore, there are uncertainties regarding the flow direct...

In real epidemic processes, the basic reproduction number R0 is the combined outcome of multiple probabilistic events. Nevertheless, it is frequently modeled as a deterministic function of epidemiological variables. This paper discusses the importance of adequate treatment of uncertainties in such models. This is done by comparing two methods of uncertainty analysis: Monte Carlo uncertainty ana...

Production throughput measures the performance and behaviour of a production system. Production throughput modelling is complex because of uncertainties in the production line. This study examined the potential application of the adaptive neuro-fuzzy inference system (ANFIS) to modelling the throughput of production under five significant production uncertainties: scrap, setup time, break time,...