Titlebook: Sustainable Energy for Smart Cities; First EAI Internatio João L. Afonso,Vítor Monteiro,José Gabriel Pinto Conference proceedings 2020 ICST

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古文字学

Matthieu Stephant,Dhaker Abbes,Kahina Hassam-Ouari,Antoine Labrunie,Benoît Robynsrovide some basic understanding of sensor operation for accelerometers, magnetometers,gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics..

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imitations and improve sensor operations. We also briefly described the mathematical background used for the sensor fusion algorithms. MATLAB scripts and software tools were also introduced to help the readers develop their own sensor fusion applications. In Chapter 4, we reviewed machine learning a

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Aníbal A. Alves,Vitor Monteiro,J. G. Pinto,Joao L. Afonso,Jose A. Afonsorovide some basic understanding of sensor operation for accelerometers, magnetometers,gyroscopes, and pressure sensors. We show how information from these can be fused to provide estimates of orientation. Then we explore the topics of machine learning and sensor data analytics..

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Juan Miguel P. Bunagan,Ryan Christopher T. Gonzales,Michael Angelo A. Pedrasa

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OMIT

STATCOM Evaluation in Electrified Railway Using V/V and Scott Power Transformersexity. One of the existing solutions is a static synchronous compensator (STATCOM), which compensates the three-phase currents imbalance and harmonics..In this paper, a comprehensive review of the electrified railway systems is carried out, identifying the electric PQ phenomena which may appear due

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Comparison of Thermal Load Models for MILP-Based Demand Response Planningusing alternative thermal load models. The results, obtained using a state-of-the-art solver, can be summarised as follows: (1) the elimination of continuous temperature variables in one thermal load submodel increased the computation time in 99% of cases and by 981% on average; (2) two new discrete

Palter

Development of a Compact and Low-Cost Weather Station for Renewable Energy Applicationsergy (BLE) wireless network to transfer the data to the mobile device when the user approaches the weather station. The system operation was validated through experimental tests that encompass all the main developed features, from the data acquisition in the weather station, to the visualization in