Percorrer por autor "Ferreira, João C."
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- Improved vehicle-to-home (iV2H) operation mode experimental analysis of the electric vehicle as off-line UPSPublication . Monteiro, Vítor; Exposto, Bruno; Ferreira, João C.; Afonso, João LuizThis paper presents experimental results of electric vehicle (EV) operation as an off-line uninterruptible power supply (UPS). Besides the traditional grid-to-vehicle and vehicle-to-grid modes, this paper presents an improved vehicle-to-home operation mode. This new operation mode consists of the detection of a power outage in the power grid and the change of the EV battery charger control to operate as an off-line UPS. When the power grid voltage is restored, the voltage produced by the on-board EV battery charger is slowly synchronized with the power grid voltage before a complete transition to the normal mode. This paper presents results of two algorithms to detect a power outage: the root mean square (rms) calculation method based on half-cycle of the power grid voltage, and the rms estimation based on a Kalman filter. The experimental results were obtained in steady and transient state considering two cases with the EV plugged in at home:when charging the batteries and without charging the batteries. This paper describes the EV battery charger, the power outage detection methods, and the voltage and current control strategies.
- Internet of things for energy efficiency and personalizationPublication . Ferreira, João C.The present work presents a home energy management system (HEMS) that based on an Internet of Things will allow appliances to be turned on or off by remote commands. This approach is essential for a sustainable planet with the fast growing implementation of intermittent renewable energy sources, like wind and solar. This renewable energy sources have an intermittent behavior, so one solution to this problem is an EMS that tries to fit production to energy consumption. In this research work we propose a solution based on the standard OpenADR and a network of sensors to handle this problem, creating a platform based on internet-of-things capable to turn-on or off electrical devices based on a central decision process that meets the requirements of energy producers and consumers. Producers can provide energy according to the consumer's requirements and take part of energy production and costs fluctuations. Based on an OpenADR standard for energy data exchange and a central cloud server, a list of services are provided to handle these transactions, with georeferenced information to minimize energy losses in the distribution process. Furthermore, mobile devices can passive collect user mobility data to optimize energy efficiency, heating or cooling the house before users return home, thus, generating energy personalized services.
- Methodology for knowledge extraction from mobility big dataPublication . Ferreira, João C.; Monteiro, Vitor; Afonso, José; Afonso, Joao L.The spread of mobile devices with several sensors, together with mobile communication, provides huge volumes of real-time data (big data) about users' mobility habits, which should be correctly analysed to extract useful knowledge. In our research we explore a data mining approach based on a Naive Bayes (NB) classifier applied to different sources of big data. To achieve this goal, we propose a methodology based on four processes that collects data and merges different data sources into pre-defined data classes. We can apply this methodology to different big data sources and extract a diversity of knowledge that can be applied to the development of dedicated applications and decision processes in the area of intelligent transportation systems, such as route advice, CO2 emissions reduction through fuel savings, and provision of smart advice for public transportation usage.
- Mobi_System: A Personal Travel Assistance for Electrical Vehicles in Smart CitiesPublication . Ferreira, João C.; Afonso, João L.In this work it is proposed the design of a mobile system to assist car drivers in a smart city environment oriented to the upcoming reality of Electric Vehicles (EV). Taking into account the new reality of smart cites, EV introduction, Smart Grids (SG), Electrical Markets (EM), with deregulation of electricity production and use, drivers will need more information for decision and mobility purposes. A mobile application to recommend useful related information will help drivers to deal with this new reality, giving guidance towards traffic, batteries charging process, and city mobility infrastructures (e. g. public transportation information, parking places availability and car & bike sharing systems). Since this is an upcoming reality with possible process changes, development must be based on agile process approaches (Web services).
- Smart Electric Vehicle Charging SystemPublication . Ferreira, João C.; Monteiro, Vítor; Afonso, João L.; Silva, AlbertoIn this work is proposed the design of a system to create and handle Electric Vehicles (EV) charging procedures, based on intelligent process. Due to the electrical power distribution network limitation and absence of smart meter devices, Electric Vehicles charging should be performed in a balanced way, taking into account past experience, weather information based on data mining, and simulation approaches. In order to allow information exchange and to help user mobility, it was also created a mobile application to assist the EV driver on these processes. This proposed Smart ElectricVehicle Charging System uses Vehicle-to-Grid (V2G) technology, in order to connect Electric Vehicles and also renewable energy sources to Smart Grids (SG). This system also explores the new paradigm of Electrical Markets (EM), with deregulation of electricity production and use, in order to obtain the best conditions for commercializing electrical energy.
- A student personal system for bologna process mobilityPublication . Filipe, Porfírio; Ferreira, João C.The Bologna Process aimed to build a European Higher Education Area with the objective of promoting students mobility. The adoption of Bologna Declaration directives requires a decentralized approach that accelerates student's mobility, based on frequently updated legislation. This paper proposes a student personal system to manage student's academic information. This system is supported by a flexible model that integrates, for instance, knowledge about the student attended courses or about a course that the student wishes to apply. Essentially, this model holds a (i) Student's Academic Record with skills acquired in academic course units, professional experience or training and an (ii) Individual Studies Plan, which places the student in a particular (iii) Course Plan setting the curricular structure that the student wishes to apply.
- Towards an academic social network for Bologna processPublication . Ferreira, João C.; Filipe, PorfírioThe Bologna Process aimed to build a European Higher Education Area promoting student's mobility. The adoption of Bologna Declaration directives requires a self management distributed approach to deal with student's mobility, allowing frequent updates in institutions rules or legislation. This paper suggests a computational system architecture, which follows a social network design. A set of structured annotations is proposed in order to organize the user's information. For instance, when the user is a student its annotations are organized into an academic record. The academic record data is used to discover interests, namely mobility interests, among students that belongs the academic network. These ideas have been applied into a demonstrator that includes a mobility simulator to compare and show the student's academic evolution.
- Tracking users mobility patterns towards CO2 footprintPublication . Ferreira, João C.; Monteiro, Vitor; Afonso, José; Afonso, Joao L.This research work is based on the development of a mobile application and associated central services for tracking users' movements in a city, identifying the transportation mode and routes performed. This passive tracking generates useful data about users' habits, which are then associated with the CO2 emission in the form of a mobility invoice, with the goal of enabling the users to understand their carbon footprint resulting from the users' mobility process in the city. The performance of the developed system is validated through experimental tests based on data collected during six months from more than 2500 mobility experiences.