Gabriela Prostean

Octavian Prostean, Iosif Szeidert, Nicolae Budisan et al.

In the complex case of wind energy conversion systems (WECS) analysis and synthesis, the mathematical models of each component element are required. In the paper are presented some contributions to preset values establishing strategies and models of specific elements: rotation speed and voltage preset values establishing strategies, a simplified fixed blade wind turbine model, the induction generator squirrel rotor induction generator Park mathematical model, specific to current frequency converter supplier use, current frequency converter inverter model. The presented models are used for WECS analysis in its specific transient regimes as well for its controller design.

Gabriela Prostean, Octavian Prostean, Iosif Szeidert et al.

The paper presents a scheduling intelligent system intended for the project management and for the operation management as well, having integrated a planner time buffer method combined with the PERT (Programme Evaluation and Review Technique) method which can drastically short the planned time. The system also adjusts if necessary the duration for the un-expecting situations during the evolution of the planner recalculating the probability to reach the deadline. The system is developed with a friendly graphical interface, which guide the user during the progress of the project providing warnings and suggestions for adjusting in real time the planner. Once the scheduling intelligent system is launched in progress, its functions are combined at the different levels, depending of the user needs. The base functions of the system are: planning, diagnosis, supervising and forecast. A real implementation is showed as a study case, is related to a software development planner.

Cristian Vasar, Iosif Szeidert, Ioan Filip et al.

This paper presents issues regarding short term electric load forecasting using feedforward and Elman recurrent neural networks. The study cases were developed using measured data representing electrical energy consume from Banat area. There were considered 35 different types of structure for both feedforward and recurrent network cases. For each type of neural network structure were performed many trainings and best solution was selected. The issue of forecasting the load on short term is essential in the effective energetic consume management in an open market environment.