A5051939367- Smart Grid Energy Management
- Electric Vehicles and Infrastructure
- Electric Power System Optimization
- Microgrid Control and Optimization
- Optimal Power Flow Distribution
- Advanced Battery Technologies Research
- Auction Theory and Applications
- Energy Load and Power Forecasting
- Metaheuristic Optimization Algorithms Research
- Transportation and Mobility Innovations
- Evolutionary Algorithms and Applications
- Smart Grid Security and Resilience
- Power System Reliability and Maintenance
- Scientific Computing and Data Management
- Integrated Energy Systems Optimization
- Electric and Hybrid Vehicle Technologies
- Energy Efficiency and Management
- Network Traffic and Congestion Control
- Vehicular Ad Hoc Networks (VANETs)
- Power System Optimization and Stability
- Peer-to-Peer Network Technologies
- Artificial Immune Systems Applications
- Age of Information Optimization
- Building Energy and Comfort Optimization
- Solar Radiation and Photovoltaics
University of Beira Interior
2024
University of Luxembourg
2023
Technical University of Denmark
2017-2023
University of Minho
2021
Polytechnic Institute of Porto
2010-2018
Universidade Federal do Ceará
2016
Institute of Engineering
2012-2014
Newcastle University
2010
Universidade Federal do Rio de Janeiro
2008
Polytechnic Institute of Castelo Branco
2003-2004
The energy resource scheduling is becoming increasingly important, as the use of distributed resources intensified and massive gridable vehicle (V2G) envisaged. This paper presents a methodology for day-ahead smart grids considering intensive generation V2G. main focus comparison different EV management approaches in management, namely uncontrolled charging, V2G Demand Response (DR) programs approach. Three DR are designed tested (trip reduce, shifting reduce reduce+shifting). Other...
Summary form only given. This paper proposes a Simulated Annealing (SA) approach to address energy resources management from the point of view Virtual Power Player (VPP) operating in smart grid. Distributed generation, demand response, and gridable vehicles are intelligently managed on multi-period basis according V2G users' profiles requirements. Apart using aggregated resources, VPP can also purchase additional set external suppliers. The includes case study for 33 bus distribution network...
The elastic behavior of the demand consumption jointly used with other available resources such as distributed generation (DG) can play a crucial role for success smart grids. intensive use Distributed Energy Resources (DER) and technical contractual constraints result in large-scale non linear optimization problems that require computational intelligence methods to be solved. This paper proposes Particle Swarm Optimization (PSO) based methodology support minimization operation costs virtual...
This paper addresses the problem of energy resource scheduling. An aggregator will manage all distributed resources connected to its distribution network, including generation based on renewable resources, demand response, storage systems, and electrical gridable vehicles. The use vehicles have a significant impact power systems management, especially in networks. Therefore, inclusion optimal scheduling be very important future network management. proposed particle swarm optimization...
Electricity markets are complex environments, involving a large number of different entities, playing in dynamic scene to obtain the best advantages and profits. MASCEM (Multi-Agent System for Competitive Markets) is multi-agent elect
The increase of distributed energy resources, mainly based on renewable sources, requires new solutions that are able to deal with this type resources' particular characteristics (namely, the sources intermittent nature). smart grid concept is increasing its consensus as most suitable solution facilitate small players' participation in electric power negotiations while improving efficiency. opportunity for multiple negotiation environments (smart addition already implemented market types,...
In recent years the use of several new resources in power systems, such as distributed generation, demand response and more recently electric vehicles, has significantly increased. Power systems aim at lowering operational costs, requiring an adequate energy management. this context, load consumption management plays important role, being necessary to optimization strategies adjust supply profile. These can be integrated programs. The control intelligent house objective optimizing...
A crise hipertensiva é uma condição clínica grave, caracterizada por elevação abrupta da pressão arterial, podendo levar a complicações orgânicas potencialmente fatais, como encefalopatia hipertensiva, acidente vascular cerebral (AVC), infarto agudo do miocárdio (IAM) e insuficiência renal aguda. Sua classificação em emergência (com lesão de órgão-alvo) urgência (sem imediata) direciona abordagem terapêutica. O manejo imediato visa reduzir arterial forma controlada, priorizando proteção...