Search results for: Zita Vale

Items from 1 to 20 out of 205 results

article

Hybrid approach based on particle swarm optimization for electricity markets participation

Ricardo Faia, Tiago Pinto, Zita Vale, Juan Manuel Corchado

Energy Informatics > 2019 > 2 > 1 > 1-16

In many large-scale and time-consuming problems, the application of metaheuristics becomes essential, since these methods enable achieving very close solutions to the exact one in a much shorter time. In this work, we address the problem of portfolio optimization applied to electricity markets negotiation. As in a market environment, decision-making is carried out in very short times, the application...

article

A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids

Fernando Lezama, Joao Soares, Zita Vale

Energy Informatics > 2018 > 1 > 1 > 355-360

Due to the importance of the energy resource management (ERM) in the energy community, several mathematical formulations have been successfully proposed to solve the problem. However, due to the very dynamic evolution of power systems and the transformation of electrical grids, mainly due to the development of smart grid technologies, traditional formulations, which were designed for an entirely different...

article

A context-based building security alarm through power and sensors analysis

Francisco Silva, Gabriel Santos, Isabel Praça, Zita Vale

Energy Informatics > 2018 > 1 > 1 > 349-353

The great technology advance over the last few years has led to a great increase in the quantity and availability of information. Having the means to obtain the required information, the main challenge is to make the best use of such information, by extracting as much knowledge as possible. The building security management process is no exception. With the emergence of IoT and the mature approach...

article

Iberian electricity market ontology to enable smart grid market simulation

Gabriel Santos, Tiago Pinto, Isabel Praça, Zita Vale

Energy Informatics > 2018 > 1 > 1 > 1-14

Several approaches have been proposed to enhance the potential of distributed generation (DG). Some of the most prominent solutions include the aggregation of DG units and other players, culminating in the concept of and Smart Grid (SG). In this context, several simulation tools arose to study and test the new market mechanisms. However, all of these simulators are closed and centred in their object...

article

Office building participation in demand response programs supported by intelligent lighting management

Mahsa Khorram, Omid Abrishambaf, Pedro Faria, Zita Vale

Energy Informatics > 2018 > 1 > 1 > 1-14

According to importance of demand response programs in smart grids and microgrids, many efforts have been made to change the consumption patterns of the users, and the use of renewable resources has also increased. Significant part of energy consumption belongs to buildings such as residential, commercial, and office buildings. Many buildings are equipping with components that can be used for the...

article

Application of an optimization-based curtailment service provider in real-time simulation

Omid Abrishambaf, Pedro Faria, Zita Vale

Energy Informatics > 2018 > 1 > 1 > 1-17

The use of demand response programs and distributed renewable energy resources are intensively discussed. These concepts play a key role in the distribution network, especially smart grids and microgrids. Nowadays, most of the implemented demand response programs are considered for large-scale resources, which make small and medium resources unable to participate in electricity market negotiations...

article

Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management

Ricardo Faia, Tiago Pinto, Omid Abrishambaf, Filipe Fernandes, more

Energy and Buildings > 2017 > 155 > C > 269-281

This paper proposes a novel Case Based Reasoning (CBR) application for intelligent management of energy resources in residential buildings. The proposed CBR approach enables analyzing the history of previous cases of energy reduction in buildings, and using them to provide a suggestion on the ideal level of energy reduction that should be applied in the consumption of houses. The innovations of the...

article

Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

Joao Soares, Bruno Canizes, Mohammad Ali Fotouhi Ghazvini, Zita Vale, more

IEEE Transactions on Industry Applications > 2017 > 53 > 6 > 5905 - 5914

The ever-increasing penetration level of renewable energy and electric vehicles threatens the operation of the power grid. Dealing with uncertainty in smart grids is critical in order to mitigate possible issues. This paper proposes a two-stage stochastic model for a large-scale energy resource scheduling problem of aggregators in a smart grid. The idea is to address the challenges brought by the...

article

Optimal Approach for Reliability Assessment in Radial Distribution Networks

Bruno Canizes, Joao Soares, Zita Vale, Cristina Lobo

IEEE Systems Journal > 2017 > 11 > 3 > 1846 - 1856

This paper proposes a new methodology for the evaluation of reliability in radial distribution networks through the identification of new investments in this kind of networks, in order to reduce the repair time and the failure rate, which leads to a reduction of the forced outage rate and, consequently, to an increase of reliability. The novelty of this research work consists in proposing an ac optimization...

chapter

Reserve costs allocation model for energy and reserve market simulation

Tiago Pinto, Amin Shokri Gazafroudi, Francisco Prieto-Castrillo, Gabriel Santos, more

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP) > 1 - 6

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

This paper proposes a new model to allocate reserve costs among the involved players, considering the characteristics of the several entities, and the particular circumstances at each moment. The proposed model is integrated in the Multi-Agent Simulator of Competitive Electricity Markets (MASCEM), which enables complementing the multi-agent simulation of diverse electricity market models, by including...

chapter

EPEX ontology: Enhancing agent-based electricity market simulation

Gabriel Santos, Tiago Pinto, Isabel Praca, Zita Vale

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP) > 1 - 6

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

Electricity markets worldwide are complex and dynamic environments with very particular characteristics. The markets' restructuring and evolution into regional and continental scales, along with the constant changes brought by the increasing necessity for an adequate integration of renewable energy sources are the main drivers. Multi-agent based software is particularly well fitted to analyse dynamic...

chapter

Evolutionary framework for multi-dimensional signaling method applied to energy dispatch problems in smart grids

Fernando Lezama, Enrique Munoz de Cote, Luis Enrique Sucar, Joao Soares, more

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP) > 1 - 6

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

In the smart grid (SG) era, the energy resource management (ERM) in power systems is facing an increase in complexity, mainly due to the high penetration of distributed resources, such as renewable energy and electric vehicles (EVs). Therefore, advanced control techniques and sophisticated planning tools are required to take advantage of the benefits that SG technologies can provide. In this paper,...

chapter

Multi-objective robust optimization to solve energy scheduling in buildings under uncertainty

Joao Soares, Zita Vale, Nuno Borges, Fernando Lezama, more

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP) > 1 - 6

2017 19th International Conference on Intelligent System Application to Power Systems (ISAP)

With the high penetration of renewable generation in Smart Grids (SG), the uncertainty behavior associated with the forecast of weather conditions possesses a new degree of complexity in the Energy Resource Management (ERM) problem. In this paper, a Multi-Objective Particle Swarm Optimization (MOPSO) methodology is proposed to solve ERM problem in buildings with penetration of Distributed Generation...

chapter

Shared intelligence platform for collaborative simulations using sequences of algorithms: An electricity market participation case study

Eugenia Vinagre, Tiago Pinto, Isabel Praca, Luis Gomes, more

2017 IEEE Manchester PowerTech > 1 - 6

2017 IEEE Manchester PowerTech

SEAS Shared Intelligence (SEAS SI) is a platform for algorithms sharing and execution developed under the scope of Smart Energy Aware Systems (SEAS) project to promote the intelligent management of smart grids and microgrids, by means of the shared usage of algorithms and tools, while ensuring code and intellectual protection. In this paper the platform goals and architecture are described, focusing...

chapter

Organization-based Multi-Agent structure of the Smart Home Electricity System

Amin Shokri Gazafroudi, Tiago Pinto, Francisco Prieto-Castrillo, Javier Prieto, more

2017 IEEE Congress on Evolutionary Computation (CEC) > 1327 - 1334

2017 IEEE Congress on Evolutionary Computation (CEC)

This paper proposes a Building Energy Management System (BEMS) as part of an organization-based Multi-Agent system that models the Smart Home Electricity System (MASHES). The proposed BEMS consists of an Energy Management System (EMS) and a Prediction Engine (PE). The considered Smart Home Electricity System (SHES) consists of different agents, each with different tasks in the system. In this context,...

chapter

Context analysis in energy resource management residential buildings

Bruno Madureira, Tiago Pinto, Filipe Fernandes, Zita Vale

2017 IEEE Manchester PowerTech > 1 - 6

2017 IEEE Manchester PowerTech

This paper presents a context analysis methodology to improve the management of residential energy resources by making the decision making process adaptive to different contexts. A context analysis model is proposed and described, using a clustering process to group similar situations. Several clustering quality assessment indices, which support the decisions on how many clusters should be created...

chapter

Energy consumption forecasting using genetic fuzzy rule-based systems based on MOGUL learning methodology

Aria Jozi, Tiago Pinto, Isabel Praca, Francisco Silva, more

2017 IEEE Manchester PowerTech > 1 - 5

2017 IEEE Manchester PowerTech

One of the most challenging tasks for energy domain stakeholders is to have a better preview of the electricity consumption. Having a more trustable expectation of electricity consumption can help minimizing the cost of electricity and also enable a better control on the electricity tariff. This paper presents a study using a Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative...

chapter

Model for the integration of distributed energy resources in energy markets by an aggregator

Joao Spinola, Pedro Faria, Zita Vale

2017 IEEE Manchester PowerTech > 1 - 6

2017 IEEE Manchester PowerTech

The increase of distributed energy resources in energy systems and current legislation concerning the participation in energy markets, is causing a high wasted potential of energy supply and flexibility services. In this paper, it is proposed a methodology for the management and integration of distributed energy resources in energy systems and markets, through the application of an aggregator. Also,...

article

Demand response implementation in smart households

Mohammad Ali Fotouhi Ghazvini, João Soares, Omid Abrishambaf, Rui Castro, more

Energy and Buildings > 2017 > 143 > C > 129-148

Home energy management system (HEMS) is essential for residential electricity consumers to participate actively in demand response (DR) programs. Dynamic pricing schemes are not sufficiently effective for end-users without utilizing a HEMS for consumption management. In this paper, an intelligent HEMS algorithm is proposed to schedule the consumption of controllable appliances in a smart household...

article

Dynamic electricity pricing for electric vehicles using stochastic programming

João Soares, Mohammad Ali Fotouhi Ghazvini, Nuno Borges, Zita Vale

Energy > 2017 > 122 > C > 111-127

Electric Vehicles (EVs) are an important source of uncertainty, due to their variable demand, departure time and location. In smart grids, the electricity demand can be controlled via Demand Response (DR) programs. Smart charging and vehicle-to-grid seem highly promising methods for EVs control. However, high capital costs remain a barrier to implementation. Meanwhile, incentive and price-based schemes...

Publication date

Set your own date range

Content availability

Available (204)
None (1)

Publication type

book (153)
article (52)

Keywords

Data set

ieee (148)
Elsevier (35)
Springer (22)

Journal

Energy (9)
Applied Energy (6)
Energy Informatics (6)
Electric Power Systems Research (5)
IEEE Intelligent Systems (4)
Energy Conversion and Management (3)
Energy & Buildings (2)
Energy and Buildings (2)
IEEE Transactions on Smart Grid (2)
Renewable Energy (2)
Applied Soft Computing (1)
Computers and Mathematics with Applications (1)
Decision Support Systems (1)
IEEE Systems Journal (1)
IEEE Transactions on Industrial Informatics (1)
IEEE Transactions on Industry Applications (1)
IEEE Transactions on Neural Networks and Learning Systems (1)
IET Generation, Transmission & Distribution (1)
International Journal of Electrical Power and Energy Systems (1)
Neurocomputing (1)
Swarm and Evolutionary Computation (1)
more

INFONA - science communication portal

Search results for: Zita Vale

Hybrid approach based on particle swarm optimization for electricity markets participation

A platform for testing the performance of metaheuristics solving the energy resource management problem in smart grids

A context-based building security alarm through power and sensors analysis

Iberian electricity market ontology to enable smart grid market simulation

Office building participation in demand response programs supported by intelligent lighting management

Application of an optimization-based curtailment service provider in real-time simulation

Case based reasoning with expert system and swarm intelligence to determine energy reduction in buildings energy management

Two-Stage Stochastic Model Using Benders’ Decomposition for Large-Scale Energy Resource Management in Smart Grids

Optimal Approach for Reliability Assessment in Radial Distribution Networks

Reserve costs allocation model for energy and reserve market simulation

EPEX ontology: Enhancing agent-based electricity market simulation

Evolutionary framework for multi-dimensional signaling method applied to energy dispatch problems in smart grids

Multi-objective robust optimization to solve energy scheduling in buildings under uncertainty

Shared intelligence platform for collaborative simulations using sequences of algorithms: An electricity market participation case study

Organization-based Multi-Agent structure of the Smart Home Electricity System

Context analysis in energy resource management residential buildings

Energy consumption forecasting using genetic fuzzy rule-based systems based on MOGUL learning methodology

Model for the integration of distributed energy resources in energy markets by an aggregator

Demand response implementation in smart households

Dynamic electricity pricing for electric vehicles using stochastic programming

Filter options

Publication date

Content availability

Publication type

Keywords

Data set

Journal

INFONA - science communication portal

Search results for: Zita Vale

Add recipient

Sending message cancelled

Are you sure you want to cancel sending this message?

Send message

Filter options

Publication date

Date range setting

Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.

Content availability

Publication type

Keywords

Data set

Journal

Reporting an error / abuse

Sending the report failed

Accessibility options