Narrow Results

In the electricity business, power evacuation from source to load is a challenging task when there is contingency and agencies have to swirl around for solutions in terms of rescheduling generator dispatch, load slashing, adding of network, etc. The more challenging scenario arises when the independent operator wants to re-dispatch a generator during the contingent situation. So, in this paper, we focus on a new generator rescheduling technique with congestion price and transmission security as an intervention. The significant intention of this paper involves restricting the load thereby dispatching a particular generator or a set of generators with low cost and secure transmission line. In addition to this, the network jamming is unpredictable and does not follow any pattern, but power supply in some zones is disrupted due to hidden reasons. Therefore, a macroscopic or holistic approach is adopted for congestion forecasting through demand schedule, gathering, minimum as well as maximum drawls. Here, two significant factors namely the transmission utilization charges as well as transmission congestion charges for predicting the congestion of a transmission line are evaluated. Finally, the experimental analysis to determine transmission utilization charges, transmission congestion charges, cost function and generation supply as well as demand balance with congestion optimization.

In order to extract and to visualize qualitative information from a high-dimensional time series, we apply ideas from symbolic dynamics. Counting certain ordinal patterns in the given series, we obtain a series of matrices whose entries are symbol frequencies. This matrix series is explored by simple methods from nominal statistics and information theory. The method is applied to detect and visualize qualitative changes of EEG data related to epileptic activity.

In this note we describe a simple method for visualizing time-dependent similarities and dissimilarities between the components of a high-dimensional time series. On the base of symbolic dynamics, the time series is turned into a series of matrices whose rows quantify pattern types in the components of the original series. For different scales we introduce distances between the components via the obtained pattern type distributions and approximate them in a one-dimensional manner. The method is illustrated for 19-channel EEG data.

Innovation is of vital importance, not only to commercial companies, but also to governments. For the Dutch, innovation in the field of water management is even a matter of survival, because much of their country lies below sea level. An evaluation of a water innovation program carried out by the Dutch government, using the cyclic innovation model, shows that there is a broad understanding of innovation, that innovators see innovation as a significant break from the "old" and recognize the connection between innovation and future developments, but that, on the other hand, the innovation processes in the innovation program are quite informal, that outside partners are involved sufficiently adhere to the new paradigm of "open innovation, and that the connection with top management at Rijkswaterstaat (as part of the Ministry of Infrastructure and Environment) could be improved. It is advised, among others, to make a clear distinction between projects and innovation processes, and to adopt a contingency approach to make that different types of innovations (incremental versus radical) are managed differently.

This study examines CEO succession in small firms and the impact of CEO honing and enterprising competence on firm performance within a contingency framework. In a study of 162 small firms, we hypothesize that a newly appointed CEO will bring entrepreneurship to its small firms, but the results do not support this. Instead, the results indicate that a new CEO tends to introduce honing in the firm. Only CEO market enterprising had a direct relation to better performance. However, we find several instances of moderation effects attributable to strategic competence, environmental uncertainty, and the nature of tasks in the company.

Construction projects are very sensitive to project-specific conditions. Any possible combination of risk factors can significantly affect the success of a project's performance. Risk analysis has been used to predict the impact of various uncertainties that are inherent in construction projects. However, one key problem with present-day risk analysis methods is that they are basically mathematical or probability-oriented approaches which are not easy to adopt in real business because they easily become complex to capture the relations between the complex variables. This paper presents the use of a judgment-based method called Cross Impact Analysis (CIA) to model the cost risks of a construction project in a highly uncertain environment and to predict their impact on cost variance in the early stage of a bidding process. Then, a case study is performed to demonstrate the approach, which allows complex risk analysis to be performed simply by common users in capturing the risk variables' relations, while maintaining an acceptable accuracy limit.

The analytic focus developed in this study has been about providing some evidence on the affirmation of firms' industrial and semi-industrial development stages with production strategies that have formed elements for conversion changes in the East Asian manufacturing processes. To this, there is also the moderate intensity of states' contingency plans prepared to support the formation of consumers' demand for service distribution capacities that have been considered for this comparative review. In fact, the organizational supporting framework of states with regional built-in mechanisms for competition and outsourcing activities relates to contingent planning. However, the diffusion of firms' learning mechanisms evolving toward technological projected outcomes has been implemented with integrative management operations carried out under different modeling programs. Basically, this research has been focused on a comparative discussion about the industrial restructuring stages for the implementation of industrial modeling actions, which have provided a theoretical basic ground that involves the association of environmental concepts referring to Climate Change Adaptability (CAA) for the post-disaster influential implications.