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Energy forecast is essential for a good planning of the electricity consumption as well as for the implementation of decision support systems which can lead the decision making process of energy system. Energy consumption time series prediction problems represent a difficult type of predictive modelling problem due to the existence of complex linear and non-linear patterns. This paper presents two...
Water management and irrigation scheduling have become the main subjects of different studies in the last decades, due to their high influence on crop performance indicators. This study presents the most important parameters that have to be monitored in an irrigation management system and the most important ones are synthesized: air moisture and temperature, soil air and moisture, evapotranspiration...
The paper presents the system architecture, development and prototype implementation of a new integrated system for simulation of automated industrial processes using advanced technologies, in accordance with CPS/Industry 4.0 principles. The need to develop such a system is underscored by the interest of the educational stakeholders: students, faculty members, high-level industry partners, for an...
Present and future global energy challenges assume a growing role of intelligent information technologies. Among the global objectives lay a continuous energy supply, making efficient use of energy in all its forms. Renewable energy and energy harvester systems have become a hot topic to the academia and industrial representatives, due to the last technical developments and economical support. This...
Modern, densely instrumented, smart buildings generate large amounts of raw data. This poses significant challenges from both the data management perspective as well as leveraging the associated information for enabling advanced energy management, fault detection and control strategies. Networks of intelligent sensors, controllers and actuators currently allow fine grained monitoring of the building...
In the current development of renewable energy production, microgrid control is a stringent issue nowadays. This practical approach should benefit of the newest automation and IT&C techniques. The paper addresses, in a particular manner, the main control systems strategies and techniques adapted for the microgrid processes: hierarchical control, model predictive control, multi-agent systems, average-consensus...
The presence of a significant proportion of renewable power plants in the Romanian National Power System has led to the need for renewable generation to contribute more significantly to power system voltage and reactive power control. This paper has theoretical and practical contributions on the operation in a complex, interconnected power system through secondary voltage-reactive power (U-Q) control...
A renewable technology that is gaining more and more credit and registered a fast market development during the last couple of decades is represented by photovoltaic (PV) devices. Being characterized by low energy efficiencies and high investment costs, the main interest is to exploit these equipments as productive as possible. A major problem is the fact that catalog data for photovoltaic devices...
This paper presents the design and implementation of a control algorithm in order to command the photovoltaic panel movement to improve the availability of solar energy and the system's total efficiency. The designed algorithm is implemented on a solar tracking experimental platform using a model predictive control algorithm. It makes use of measured values for radiation from two appropriate sensors...
This paper presents the design and implementation of a fuzzy decision support system for control of photovoltaic panel movement in order to improve the availability of solar energy and the system's total efficiency. The designed algorithm is implemented on a solar tracking experimental platform using a fuzzy logic control strategy. It makes use of measured values for radiation from appropriate sensors...
Energy storage plays an important role in managing effectively the integration of distributed renewable energy generation within the electrical networks of the future. Pervasive monitoring and control of these systems makes growing use of information and communication technologies, which aim at secure and economic operation at various scales from microgrids to system-wide integration. Among these,...
The paper presents a solar-tracking method for control of photovoltaic panel movement in order to improve the conversion efficiency of the system. The designed algorithm is implemented on a solar-tracking experimental platform using a tri-positional control strategy. It makes use of measured values for radiation from appropriate sensors and assures command of the platform's two positioning motors...
The prediction of software reliability can determine the current reliability of a product, using statistical techniques based on the failures data, obtained during testing or system usability. The major problem in predicting software reliability is their high complexity, as well as the excessive limitations of existing models. Therefore, choosing the appropriate reliability prediction model is essential...
Data centers provide the global community withan indispensable service: nearly unlimited access to almost any kind of information we can imagine. With the increasing demand of information, the high energy costs has raised the issue of power consumption. The main goal in achieving data center energy efficiency can be translated into the ensuring that IT equipment uses, as maximum power as possible...
The prediction of software reliability can determine the current reliability of a product, using statistical techniques based on the failures data, obtained during testing or system usability. Software reliability growth models attempt to predict the number of defect using a correlation between exponential function and defect data. The purpose of this paper is to study the evolution of a real-life...
The simulation of physical processes represents a modern and efficient direction for multifunctional testing platforms. This paper will present a Process Control Simulator and its applications in system simulation. The Process Control Simulator can be used for students training as well as for the conception, simulation and improvement of control schemes in modern technologies. The simulation of industrial...
This paper presents a diagnostic methodology relying on a set-membership approach for fault detection and on a causal model for fault isolation. Set-membership methods are a promising approach to fault detection because they take into account a priori knowledge of model uncertainties and measurement errors. Every uncertain model parameter and/or measurement is represented by a bounded variable. In...
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