1,282 research outputs found
D7.2 Proceedings of the First DREAM-GO Workshop: Simulation of consumers and markets towards real time demand response
No full textSimulation of consumers and markets towards real time demand response
Proceedings of the First DREAM-GO Workshop Institute of Engineering - Polytechnic of Porto, Porto, Portugal, April 6-7, 2016.Proceedings of the First DREAM-GO Workshop
Institute of Engineering - Polytechnic of Porto, Porto, Portugal, April 6-7, 2016.
Contents
European Policies Aiming the Penetration of Distributed Energy
Resources in the Energy Market
Nuno Borges, João Spínola, Diogo Boldt, Pedro Faria, Zita Vale
5
Hybrid system to analyze user's behavior
Valérian Guivarch, Juan F. De Paz Santana, Javier Bajo, André Péninou,
Valerie Camps
26
Advantages of using RTLS and WSN to enable efficient power
consumption
Óscar García, Ricardo S. Alonso, Fabio Guevara, Jorge Catalina
36
Embedded agents to monitor sounds
Alberto L. Barriuso, Gabriel Villarrubia, Javier Bajo, Juan F. De Paz, Juan M.
Corchado
44
Evaluation of the Introduction of Smart Grid Measures in
Consumer's Energy Bill
Diogo Boldt, Nuno Borges, João Spínola, Pedro Faria, Zita Vale
52
Current status and new business models for electric vehicles
demand response design in smart grids
João Soares, Zita Vale, Nuno Borges
63
Demand Response in Portugal: View of its Actual Use
João Spínola, Pedro Faria, Zita Vale
73
Real-Time Power and Intelligent Systems (RTPIS) Studies at
Clemson University
G. Kumar Venayagamoorthy
81
Energy Dynamic Platform as Enabler for Future Smart Grids
Luísa Matos, Jorge Landeck, Rodrigo Ferreira
8
Energy consumption and PV generation data of 15 prosumers (15 minute resolution)
No full textEnergy consumption and PV generation data of 15 prosumers (15 minute resolution)
Sérgio Ramos, João Soares, Zahra Foroozandeh, Inês Tavares, Zita Vale
Paper title: (All papers)
Type: Energy consumption and PV generation data
Duration: Year 2019 (15 minute – 35 040 periods)
Resolution: 15 minutes
Application: Paper submitted on
Sheets description:
Total PV production: Contains the generation of the PV panels;
Common services: Contains information of the energy consumption of the common services of the building;
Consumer 1-15: Contains the information of the energy consumption of each consumer.This work has received funding from FEDER Funds through COMPETE program and from National Funds through FCT under the project BENEFICE–PTDC/EEI-EEE/29070/2017 and UIDB/00760/2020 under CEECIND/02814/2017 gran
Sistema de apoio à decisão operacional para escalonamento dinâmico da produção
No full textDissertação apresentada para obtenção do grau de Mestre em Engenharia Electrotécnica e de Computadores, na Faculdade de Engenharia da Universidade do Porto, sob a orientação da Prof. Doutora Zita Maria Almeida do ValeTese de mestrado. Engenharia Electrotécnica e de Computadores. Faculdade de Engenharia. Universidade do Porto. 199
Distributed Constrained Optimization Towards Effective Agent-Based Microgrid Energy Resource Management
Get PDFThe current energy scenario requires actions towards the reduction of energy consumption and the use of renewable resources. In this context, a microgrid is a self-sustained network that can operate connected to the smart grid or in isolation. The long-term scheduling of on/off cycles of devices is a critical problem that has been commonly addressed by centralized approaches. In this work, we propose a novel agent-based method to solve the long-term scheduling problem as a distributed constraint optimization problem (DCOP) by modelling future system configurations rather than reacting to changes. Moreover, with respect to approaches based on decentralised reinforcement learning, we can directly encode system-wide hard constraints (such as for example the Kirchhoff law) which are not easy to represent in a factored representation of the problem. We compare different multi-agent DCOP algorithms showing that the proposed method can find optimal/near-optimal solutions for a specific case stud
A complete energy community dataset with photovoltaic generation, battery energy storage systems and electric vehicles
No full textThis dataset represents a complete European energy community based on actual data. In this scenario, a community of 250 households was built using real energy consumption and solar generation data obtained in homes throughout Europe. In total, 200 community members were assigned solar generation, while 150 were assigned a battery storage system. From the acquired sample, new profiles were created and randomly assigned to each end-user while also receiving two electric cars with information on their capacity, state-of-charge, and usage. Furthermore, it is provided the electric vehicle chargers’ information on their location, type, and cost of operation.
This work has been published in Elsevier's Data in Brief journal:
Ricardo Faia, Calvin Goncalves, Luis Gomes, Zita Vale
Dataset of an energy community with prosumer consumption, photovoltaic generation, battery storage, and electric vehicles
Data in Brief, 2023, 109218, ISSN 2352-3409
https://doi.org/10.1016/j.dib.2023.109218
(https://www.sciencedirect.com/science/article/pii/S2352340923003372)
Reference data used to create this dataset:
Filtered energy profiles and renewable energy production profiles: https://zenodo.org/record/6778401
Battery storage systems and electric vehicles: https://zenodo.org/record/4737293This dataset is a result of the project RETINA (NORTE-01-0145-FEDER-000062), supported by Norte Portugal Regional Operational Programme (NORTE 2020), under the PORTUGAL 2020 Partnership Agreement, through the European Regional Development Fund (ERDF). The authors acknowledge the work facilities and equipment provided by GECAD research center (UIDB/00760/2020) to the project team
The use of natural materials to improve the phonemic perception of 5 – 6 years old children
No full textDiplomdarba nosaukums: Dabas materiālu izmantošana fonemātiskās uztveres pilnveidē 5 – 6 gadus veciem bērniem Darba autore: Zita Ločmane Darba zinātniskā vadītāja: Mg. paed. Egija Laganovska Darba saturs: 50 lappuses, 12 attēli, 4 tabulas, 12 pielikumi. Pētījuma mērķis: teorētiski izpētīt un praktiski pārbaudīt, vai dabas materiālu izmantošana palīdz pilnveidot fonemātisko uztveri. Pētījuma hipotēze: fonemātiskās uztveres pilnveide 5 – 6 gadus veciem bērniem būs veiksmīga, ja: •tiks ievērotas katra bērna vecumposma īpatnības; •tiks izmantoti dabas materiāli koriģējoši attīstošajā darbībā. Pētījuma teorētiskajā daļā autore apraksta un analizē vairāku autoru teorētiskās atziņas par bērnu attīstību, runas un valodas attīstību, fonemātisko uztveri, dabu un dabas materiāliem. Pētījuma empīriskajā daļā autore apraksta pētnieciski praktisko darbību, balstoties uz teorētiskajā daļā iegūtajām atziņām. Pētījuma noslēgumā tiek izdarīti secinājumi un tiek sniegti ieteikumi logopēdiem.Title of the diploma paper: The use of natural materials to improve the phonemic perception of 5 – 6 years old children Author of the diploma paper: Zita Ločmane Supervisor: Mg. paed. Egija Laganovska Diploma paper content: 50 pages, 12 images, 4 tables, 12 appendices. Research goal: to research theoretically and to test practically whether the use of natural materials helps to improve the phonemic perception. Research hypothesis: the improvement of phonemic perception of 5 – 6 years old children will be successful if: •individual identity of each child's age are taken into account; •nature materials are used in correcting. In the theoretical part the author describes and analyzes children's development, speech and language development, phonemic perception, nature and natural materials. In the empirical part the author describes the practical work of reasearch, based on the findings obtained in the theoretical part. At the end of the research paper conclusions were drawn and suggestions for speech therapists were offered
uGIM: a week with peer-to-peer transactions (03/06/2019 - 09/06/2019)
No full textuGIM is a microgrid intelligent management software that can represent individual microgrid’s players using a multi-agent approach. This dataset has data regarding a week (from 03-06-2019 to 09-06-2019) of a microgrid with five players (all offices). All agents have consumption and generation data and are able to participate in peer-to-peer transactions using an auction model. The dataset presents the data regarding: energy values (consumption and generation); energy forecasting (consumption and generation); auction participations; and peer-to-peer transactions. The transactions are analysed and classified by type: best choice; wrong sale; wrong purchase; sold too much; and bought too much.
All five agents are able to sell energy from the peer-to-peer auction. However, only four can buy energy: L.1; L.2; L.3; and R.2. Agent Z.0 is configured only to sell energy. All agents have photovoltaic generation where L.1, L.2, L.3; and R.2 have 1 kW each and Z.0 has 6 kW.
In uGIM, agents are deployed in the player’s facilities using single-board computers. All the data in this dataset is read and stored in five single-board computers. Each agent integrates several resources. In this microgrid deployment, all resources use TCP/IP communication. However, uGIM supports more protocols, such as Modbus/RTU and Modbus/TCP.
uGIM related publications:
- Gomes, L., Vale, Z., & Corchado, J. M. (2020). Microgrid management system based on a multi-agent approach: An office building pilot. Measurement: Journal of the International Measurement Confederation, 154. https://doi.org/10.1016/j.measurement.2019.107427
- Gomes, L., Vale, Z. A., & Corchado, J. M. (2020). Multi-Agent Microgrid Management System for Single-Board Computers: A Case Study on Peer-to-Peer Energy Trading. IEEE Access, 8, 64169–64183. https://doi.org/10.1109/ACCESS.2020.2985254
- Gomes, L. (2020). μGIM - Microgrid intelligen management system based on a multi-agent approach and the active participation of end-users [Universidad de Salamanca]. https://doi.org/10.14201/gredos.144238
- Gomes, L., Spínola, J., Vale, Z., & Corchado, J. M. (2019). Agent-based architecture for demand side management using real-time resources’ priorities and a deterministic optimization algorithm. Journal of Cleaner Production, 241, 118154. https://doi.org/10.1016/j.jclepro.2019.118154The present work has received funding from National Funds through FCT under the project UID/EEA/00760/2019 and SFRH/BD/109248/201
Strategic options of firms considering private label production
No full textPrivate labels are a growing phenomenon globaly. Retailers become stronger and stronger by offering their own quality private label product for customers in all segments. Certainly they do not open factories to produce these items but rather search for dedicated private label producers or pressure branded goods manufacturers to produce it for them. The article deals with the strategic choices manufacturers can have and suggest the necessary factors that need to be evaluated to decide on the winning business model- in considering wether or not to enter in private label production- through literature and a case study on the ice cream market in Hungary
Analysing Videokymograms Using Classical and Deep Learning Methods
No full textTitle: Analysing Videokymograms Using Classical and Deep Learning Methods Author: RNDr. Aleš Zita Institute: Institute of Information Theory and Automation, the Czech Academy of Sciences Supervisor: Prof. Ing. Jan Flusser, DrSc., Department of Image Processing Abstract: Videokymography (VKG) belongs to a family of medical imaging techniques capable of human larynx function visualization. Images produced by this method are ideal for automatic processing. In the last few years, the performance of deep learning systems increased significantly. In some areas, the machine learning approach exceeds the human experts in speed and accuracy. This doctoral thesis focuses on the continuous development of VKG image automatic analysis and touches on the possibility of con- necting the classical approach to Videokymographic image processing with the modern computer vision approach. Keywords: Videokymography, Medical Imaging, Digital Image Processing, Computer Vision, Machine Learning
Analýza videokymogramů pomocí tradičních metod a metod hlubokého učení
Get PDFNázev práce: Analýza videokymogramů pomocí tradičních metod a metod hlubokého učení Autor: RNDr. Aleš Zita Katedra: Ústav teorie informace a automatizace, Akademie věd České republiky Vedoucí disertační práce: Prof. Ing. Jan Flusser, DrSc., Oddělení zpracování obrazové informace Abstrakt: Videokymografie (VKG) patří do skupiny medicínských zobrazovacích technik umožňujících vizualizaci funkce lidského hrtanu. Snímky pořízené touto technikou jsou optimální pro zpracování pomocí automatických metod. V posledních několika letech se zvýšil výkon systémů hlubokých neuronových sítí natolik, že v některých oblastech překonávají lidské experty v rychlosti i přesnosti vyhodnocování. Tato disertační práce se zaměřuje na pokračující vývoj automatické analýzy VKG dat a zkoumá možnosti propojení klasického přístupu ke zpracování videokymografického obrazu s moderními metodami počítačového vidění. Klíčová slova: Videokymografie, medicínské zobrazovací metody, digitální zpracování obrazu, počítačové vidění, strojové učení 1Title: Analysing Videokymograms Using Classical and Deep Learning Methods Author: RNDr. Aleš Zita Institute: Institute of Information Theory and Automation, the Czech Academy of Sciences Supervisor: Prof. Ing. Jan Flusser, DrSc., Department of Image Processing Abstract: Videokymography (VKG) belongs to a family of medical imaging techniques capable of human larynx function visualization. Images produced by this method are ideal for automatic processing. In the last few years, the performance of deep learning systems increased significantly. In some areas, the machine learning approach exceeds the human experts in speed and accuracy. This doctoral thesis focuses on the continuous development of VKG image automatic analysis and touches on the possibility of con- necting the classical approach to Videokymographic image processing with the modern computer vision approach. Keywords: Videokymography, Medical Imaging, Digital Image Processing, Computer Vision, Machine Learning 1Matematicko-fyzikální fakultaFaculty of Mathematics and Physic
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