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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...
Cloud computing and cloud storage systems are being used more and more in a variety of domains, from everyday user applications like healthcare monitoring systems and intelligent buildings to military devices. The deployment of these frameworks also enables modern control and automation paradigms found in cyber-physical systems and Industry 4.0. Driven by exponential decreases in computing and storage...
The paper presents experimental research related to pH measuring and to the design of a system of pH monitoring. The paper is structured on three parts. The first part presents the principle of measuring the pH of a solution matter, the transducer structure and of the adaptor used. The second part is dedicated to the experimental research effectuated aiming at the use of PACTware software environment...
Large scale monitoring systems require reliable and efficient routing protocols used to overcome the limitations introduced by battery operated embedded devices, among which, energy consumption is considered the main concern. This topic has gained a lot of interest in the last decade. Due to numerous advantages, clustering is becoming more prevalent as a routing technology in WSN. This paper describes...
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...
The dense instrumentation of future smart buildings enables the implementation of advanced control techniques which are aimed at the dual objectives of energy efficiency/cost savings and occupant comfort. One of the essential functions and prerequisite consists of robust dynamic occupancy detection and prediction which allows improved estimation of active thermal zones and internal loads, as compared...
Large scale monitoring systems require reliable and efficient in-network information extraction mechanisms able to effectively track events at the field level. The study of consensus algorithms for distributed data processing has gained a lot of interest in the last decade. Average consensus algorithms used for decentralized sensor fusion in wireless sensor networks, iteratively compute the global...
Surveillance applications require reliable monitoring system architectures and cost-efficient innetwork data processing mechanisms able to provide effective information extraction for event tracking. Wireless Sensor Networks (WSNs) appear to be the most suitable technology due to some well known benefits and the rapid development of embedded devices. Current research is mostly focused on improving...
Wireless Sensor Networks (WSNs) comprising a large number of sensing nodes deployed within the area of interest, are able to measure, process and share specific parameters. Besides enabling effective area coverage, recent research has proven that unmanned aerial vehicles (UAVs) represent a viable addition to large area monitoring through remote sensing and data collecting functions. The proposed interlinking...
Networked embedded systems have been increasingly deployed in key application areas such as healthcare, home automation, industrial machines, large scale military and environmental monitoring. This has enabled the cyber-physical systems paradigm through wireless sensor networks (WSN) which collect, store, process and transmit information about a focused physical process or system to evolve. One of...
Large scale wireless sensor networks require intelligent and reliable distributed information processing mechanisms which can effectively delegate decision at the field level. Consensus algorithms have been extensively studied and deployed in many generic multiagent systems framework and are able to provide localized agreement among sensing entities. The paper discusses the evaluation of a local consensus...
The paper presents the system modeling, controller design and numerical simulation results for thermal energy management of a real office building. Focus is set on an efficient and unitary approach which leads from detailed civil engineering specifications of the building elements to compact and effective models which are suitable for control. A modular semi-automated approach in used in order to...
The paper addresses the problem of distributed agreement for control of building thermal energy through a class of consensus algorithms. The context of the work is defined by the emergence of dense networked measurement and control systems and the cyberphysical paradigm in real world building energy management applications. This has occurred more saliently by means of wireless sensor network systems,...
Monitoring large areas, critical infrastructure systems and surveillance operations require the design of advanced embedded systems which cooperate for achieving mission objectives within a decision support framework. As fundamental building blocks of this new paradigm, we focus on the integration at the communication and data processing levels of wireless sensor networks with unmanned aerial vehicles...
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 an optimal strategy for thermal control of a real building. The control algorithm uses a strategy based on model predictive control MPC (Model Predictive Control). In this control strategy, in order to improve system performance regarding the comfort and the energy consumption, weather forecast and occupancy of the building program are taken into consideration. To achieve optimal...
When there is the desire to achieve optimal temperature control for a building or its energetic performance description, one of the steps that should be followed is to identify experimentally the dynamic model for heat transfer in that building. In these models there are used heat equations in time domain, but as these systems have multiple inputs and outputs, these equations can be represented in...
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