Zita Vale

Zita Vale
Polytechnic Institute of Porto | IPP · GECAD - Grupo de Investigação em Engenharia do Conhecimento e Apoio à Decisão

PhD, Agregação (Habilitation)

About

861
Publications
83,637
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10,644
Citations
Additional affiliations
October 1998 - February 2021
Polytechnic Institute of Porto
Position
  • Professor (Full)

Publications

Publications (861)
Article
Full-text available
The increased penetration of renewables in power distribution networks has motivated significant interest in local energy systems. One of the main goals of local energy markets is to promote the participation of small consumers in energy transactions. Such transactions in local energy markets can be modeled as a bi-level optimization problem in whi...
Article
This paper presents a stochastic two-stage model for energy aggregators (EAs) in the energy and balancing markets to supply electricity and natural gas to end-users equipped with combined heat and power (CHP) units. The suggested model takes into account the battery energy storage (BES) as a self-generating unit of EA. The upper and lower subproble...
Article
Full-text available
The prosumers flexibility procurement has increased due to the current penetration of distributed and variable renewable energy sources. The prosumers flexibility is often able to quickly adjust the power consumption, making it well suited as a primary and secondary reserve for ancillary services. In the era of smart grids, the role of the aggregat...
Article
Full-text available
The current power systems, namely the low voltage distribution networks, have been suffering considerable changes in recent years. What appeared to be innovation trends nowadays due to technological advances and manufacturing cost reduction has become the new reality in the coming years. Thus, the growing trend of power generation by renewable sour...
Article
Full-text available
The management of buildings responsible for the energy storage and control can be optimized with the support of forecasting techniques. These are essential on the finding of load consumption patterns being these last involved in decisions that analyze which forecasting technique results in more accurate predictions in each context. This paper consi...
Article
Full-text available
Active communities are emerging thanks to the necessity of creating a cleaner and safer energy system. The growing concern regarding climate change urges a solution to remove fossil fuels from the production equation. The Distributed Generation (DG) technologies are presented as a substitute, but the main resources’ behavior is highly uncertain. Fl...
Article
The environmental concerns around energy, namely electricity, have driven attention to innovative approaches to fostering consumers participation in the whole energy system management. Accordingly, the concept of demand response provides incentives and signals no consumers to change the normal consumption patterns to increase the use of renewables,...
Article
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The flexibility and management in the storage and control of building expertise in the energy optimization can be enhanced with the support of algorithms involved in forecasting tasks. These play an important role on obtaining anticipated and accurate consumption predictions associated to different contexts through extensive consumption patterns an...
Article
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Due to the rising concern for the environment and sustainability issues, the transportation system is experiencing important changes to its paradigm, with the increasing replacement of internal combustion vehicles by electric ones. Consequently, the electric systems need to adapt to the ever-increasing load demand from the grid and the challenge to...
Article
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Energy resource management is a concept that should be considered in energy systems due to the significant penetration of dispersed energy resources. Thus, the efficiency in the electrical network operation can be improved and the end-user costs reduced. In this way, an energy resource aggregator plays an important role in managing the demand and g...
Article
This paper proposes a decision support model to define electricity consumers’ remuneration structures when providing consumption flexibility, optimized for different load regimes. The proposed model addresses the remuneration of consumers when participating in demand response programs, benefiting or penalizing those who adjust their consumption whe...
Article
Evolutionary computation is attracting attention in the energy domain as an alternative to tackle inherent mathematical complexity of some problems related to high-dimensionality, non-linearity, non-convexity, multimodality, or discontinuity of the search space. In this context, the research community launched the 2020 ”Competition on Evolutionary...
Article
Full-text available
Non-technical losses (NTLs) directly affect the electricity distribution system's quality and create significant economic problems in developing countries. There has been an advance in Brazil's regulations to combat this kind of loss in the last 15 years. However, the electricity consumed and not billed is still high, impacting the electricity tari...
Article
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The use of energy sharing models in smart grids has been widely addressed in the literature. However, feasible technical solutions that can deploy these models into reality, as well as the correct use of energy forecasts are not properly addressed. This paper proposes a simple, yet viable and feasible, solution to deploy energy management systems o...
Article
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By using the battery energy storage (BES) as a fast, reliable, and controllable resource, the system operator can compensate for power mismatches via changing the generation and consumption in discharging and charging modes. However, BES could decrease the inertia of the grid and endanger the security of the system. Therefore, system operators requ...
Article
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The present review has been carried out, resorting to the PRISMA methodology, analyzing 218 published articles. A comprehensive analysis has been conducted regarding the consumer's role in the energy market. Moreover, the methods used to address demand response uncertainty and the strategies used to enhance performance and motivate participation ha...
Article
Full-text available
Electric mobility has become increasingly prominent, not only because of the potential to reduce greenhouse gas emissions but also because of the proven implementations in the electric and transport sector. This paper, considering the smart grid perspective, focuses on the financial and economic benefits related to Electric Vehicle (EV) management...
Chapter
Recent commitments and consequent advances towards an effective energy transition are resulting in promising solutions but also bringing out significant new challenges. Models for energy management at the building and microgrid level are benefiting from new findings in distinct areas such as the internet of things or machine learning. However, the...
Article
Consumer-centric energy management approaches are emerging as a major solution for future power systems. In this context, intelligent home management systems should manage different kinds of devices existing in the houses assuring convenient comfort levels and understanding the users’ behaviour. At the same time, the home management systems should...
Conference Paper
This research paper presents a deterministic optimization technique for the optimal location of normally closed switches on a realistic medium voltage distribution network located in Portugal. The goal is to minimize the expected outage costs to consumers in conjunction with normally closed switches capital investment, installation, and annual...
Article
Full-text available
In the energy sector, prosumers are becoming relevant entities for energy management systems since they can share energy with their citizen energy community (CEC). Thus, this paper proposes a novel methodology based on demand response (DR) participation in a CEC context, where unsupervised learning algorithms such as convolutional neural networks a...
Article
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Nowadays, internet of things devices are becoming more prominent since they can integrate energy management systems. However, data sharing between end-users and other external entities is a concern that must be addressed to ensure data privacy. Given the above, this paper proposes a trustworthy energy management system for energy communities to ena...
Article
Full-text available
In this paper, a collective residential building is considered in which the following points are taken into consideration: (i) a flexibility value of Contract Power (CP) is considered for each consumer; (ii) it is assumed a single CP for the entire building; (iii) an energy resource manager entity is considered to manage the energy resources in the...
Article
Energy consumers are becoming active players in the power and energy system. However, their informed and real-time responsiveness to the variations of renewable-based generation and, consequently, energy prices, is not possible without decision support solutions. This paper proposes a novel contextual learning approach for energy forecasting, which...
Article
Full-text available
Human falls are an issue that especially affects elderly people, resulting in permanent disabilities or even in the person’s death. Preventing human falls is a social desire, but it is almost impossible to achieve because it is not possible to ensure full prevention. A possible solution is the detection of human falls in near real-time so that help...
Chapter
The active participation of end-users in the smart grid brings opportunities to those who want to participate. The participation and remuneration of end-users are issues that have been studied over the years in scientific publications. However, they heavily depend on energy predictions for participation requests and participation assessment for rem...
Chapter
Demand response (DR) programs and local markets (LM) are two suitable technologies to mitigate the high penetration of distributed energy resources (DER) that is vastly increasing even during the current pandemic in the world. It is intended to improve operation by incorporating such mechanisms in the energy resource management problem while mitiga...
Article
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The energy resource management (ERM) problem in today's energy systems is complex and challenging due to the increasing penetration of distributed energy resources with uncertain behavior. Despite the improvement of forecasting tools, and the development of strategies to deal with this uncertainty (for instance, considering Monte Carlo simulation t...
Article
The energy management of buildings plays a vital role in the energy sector. With that in mind, and targeting an accurate forecast of electricity consumption, in the present paper is aimed to provide decision on the best prediction algorithm for each context. It may also increase energy usage related with renewables. In this way, the identification...
Article
Due to the fast growth of energy consumption in buildings, it is crucial to ensure sustainability demands through the use of renewable energies. The solar energies have been standing out and, as a result, the forecast of photovoltaic (PV) production has received broad attention. However, the intermittent nature of the generated power brings some un...
Article
The evolution of the smart grid and its benefits for energy players drives changes in the behaviour of all the parties involved in the power and energy systems. Thus, the existence of platforms to manage participation in aggregation entities and services gains importance, as they help to monitor players’ energy resources, and make their management...
Article
New energy approaches and models require an ample amount of data to be collected in order to be tested and validated, however ordinary on-site load data measuring from buildings or households can be expensive and time-consuming. This paper creates a dataset of a residential community by attributing sample consumption and photovoltaic production pro...
Article
With the growing concern regarding climate change, solutions such as distributed generation, namely renewable-based, increased in the energy system. However, their volatile behavior needed more flexibility from the demand side to balance – resorting to demand response programs. Active consumers play a critical role in this new paradigm. In this way...
Chapter
Smart buildings can have a significant impact on human lives and are a key contributor for ensuring sustainable development. As a significant part of our lives is spent inside buildings, they have a strong impact on human life comfort and work efficiency. Moreover, they account for a significant share of the planet resources usage, from the constru...
Article
Full-text available
Heating, ventilating, and air conditioning (HVAC) units account for a significant consumption share in buildings, namely office buildings. Therefore, this paper addresses the possibility of having an intelligent and more cost-effective solution for the management of HVAC units in office buildings. The method applied in this paper divides the addres...
Preprint
The increased penetration of renewables in distribution power systems has motivated researchers to take significant interest in local energy transactions. The major goal of Local Energy Markets (LEM) is to promote the participation of small consumers in energy transactions and providing an opportunity for transactive energy systems. Such energy tra...
Article
Full-text available
Peer-to-peer transactions appear in smart grids as a way to enable the direct transaction of energy among end-users (i.e., consumers, producers, and prosumers). This concept promotes the efficient use of local renewable energy sources among neighbours. Several studies proposed the application of peer-to-peer models for energy communities, microgrid...
Article
Full-text available
Among different local renewable resources, using battery energy storage (BES) has grown more than other technologies. The main reasons for this growth are flexibility and schedulability of BES. The fast ramp-rate of BES systems provides the opportunity of effective participation of these resources in the regulation ancillary service. However, conti...
Article
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This editorial document provides the main motivations and a brief description of each paper published in the “Rethinking the Distribution Power Network Planning and Operation for a Sustainable Smart Grid and Smooth Interaction with Electrified Transportation” Special Issue. This Special Issue aims to present several innovative solutions on planning...
Article
Full-text available
Local electricity markets are emerging solutions to enable local energy trade for the end users and provide grid support services when required. Various models of local electricity markets (LEMs) have been proposed in the literature. The peer-to-peer market model appears as a promising structure among the proposed models. The peer-to-peer market st...
Article
The work in this paper uses artificial neural networks and support vector machine to forecast electricity consumption in an industrial facility. The main objective is to show that such a problem should be treated with a contextual approach that identifies the most adequate technic in each moment for a single building, contrary to the previous works...
Conference Paper
Introducing the distributed generation, namely renewable-based technologies such as wind and solar, increases the complexity of the management due to intermittent behaviors. So, the focus must be turned to the consumers' side through demand-side management. The authors proposed a methodology to deal with the uncertainty from the active consumers' r...
Article
Full-text available
Energy use in homes and buildings represents an important part of the load of electrical systems [...]
Article
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Local electricity markets are a promising idea to foster the efficiency and use of renewable energy at the distribution level. However, as such a new concept, how these local markets will be designed and integrated into existing market structures, and make the most profit from them, is still unclear. In this work, we propose a local market mechanis...
Chapter
Electricity markets are complex and dynamic environments with very particular characteristics. Ambitious goals, including those set by the European Union, foster the increased use of distributed generation, essentially based on renewable energy sources. This requires major changes in electricity markets and energy systems, namely through the adopti...
Chapter
Agent-based simulation tools have found many applications in the field of Power and Energy Systems, as they can model and analyze the complex synergies of dynamic and continuously evolving systems. While some studies have been done w.r.t. simulation and decision support for electricity markets and smart grids, there is still a generalized limitatio...
Article
Full-text available
The appearance of citizen energy communities demands the conception, development, and testing of new management models for the community and its end-users. Citizen energy communities promote the active participation of end-users, including them in the management of the community. End-users are incentivized to participate in demand response programs...
Article
Full-text available
With the rise in popularity of artificial intelligence, coupled with the growing concern over the environment, there has been a surge in the use of intelligent energy management systems. Additionally, as more buildings transition into the smart grid and, consequently, more energy and environmental data is gathered, there has been a significant incr...
Article
Full-text available
In the coming years, several transformations in the transport sector are expected, associated with the increase in electric vehicles (EVs). These changes directly impact electrical distribution systems (EDSs), introducing new challenges in their planning and operation. One way to assist in the desired integration of this technology is to allocate E...
Preprint
Full-text available
The significant changes the electricity sector has been suffering in the latest decades increased the complexity and unpredictability of power and energy systems (PES). To deal with such a volatile environment, different software tools are available to simulate, study, test, and support the decisions of the various entities involved in the sector....
Article
Full-text available
Typically, residential buildings neither allow flexibility in the individual contract power capacity nor considers buildings as unique electricity consumers. In this work, a smart building is designed that each electricity customer has flexible contract power and the whole collective residential building has a single contract power. A management en...
Conference Paper
The penetration of distributed energy resources in distribution networks is currently enabling the emergence of local energy markets (LEM). However, considering renewable generation and load demand variability is crucial to realize such transactive energy systems. In this work, we propose a bi-level optimization model for bidding in LEM, considerin...
Conference Paper
The challenges launched by the Smart Grids paradigm are getting far more complex from the management perspective. First, with the penetration of the volatile renewable energy production, the existing infrastructure is obsolete, and to avoid costly investments in the system restructuring, the demand side must provide flexibility – introducing the De...
Conference Paper
Uncertain nature of renewable resources can endanger the balance of generation and consumption. Therefore, the system operator shall commit more schedulable and controllable resources to maintain the security of grid. Among various type of energy resources, battery storages seem to be a reliable alternative to provide the regulation service. In sma...
Chapter
Full-text available
The increasing penetration of renewable energy sources and the need to adjust to the future demand requires adopting measures to improve energy resources management, especially in buildings. In this context, PV generation forecast has an essential role in the energy management entities by preventing problems related to intermittent weather conditio...
Chapter
Due to the increasing electricity consumption in the residential sector, new control systems emerged to control the demand side. Some techniques have been developed, such as shaping the curve’s load peaks by planning and shifting the electricity demand for household appliances. This paper presents a comparative analysis for the energy consumption o...
Article
Across Europe, householders have taken the opportunity to produce their electricity, helping them to reduce their electricity bill as well as reducing carbon emissions, by installing rooftop Photovoltaic Panels (PV) on their buildings. New adequate business models are needed for improving the sharing of PV between consumers in a community. Both tec...
Article
Full-text available
Demand response (DR) is a flexible way to improve distributed energy resource scheduling. The innovative contribution of this paper is to include complex contracts in the model, which can accommodate the constraints according to the special expectations of each player. Such contracts are included in the optimization of distributed energy resource s...
Conference Paper
Full-text available
The share of renewable generation is increasing all around the globe. This is leading to an increased need for designing new electricity markets that are suited to the new reality. Simulation is widely used to experiment and analyze the potential impacts of new solutions, such as novel electricity market designs. This paper presents the Electricity...