About
109
Publications
15,777
Reads
How we measure 'reads'
A 'read' is counted each time someone views a publication summary (such as the title, abstract, and list of authors), clicks on a figure, or views or downloads the full-text. Learn more
2,108
Citations
Introduction
Dr. Marinakis is an Electrical and Computer Engineer and holds a PhD in the research domain of decision support systems for sustainable local/regional energy planning.
His experience and knowledge cover the fields of energy and environmental / climate policy, implementation of related multiple-criteria decision support systems and information technology systems, promotion of energy efficiency / renewable energy technologies and modern financing mechanisms, energy management in buildings, elaboration of sustainable energy and climate action plans, and energy corporate responsibility of enterprises.
His current research is focused on the design and implementation of innovative systems and Internet of Things (IoT) solutions for Smart Cities, using big data technologies and analytics.
Publications
Publications (109)
Nowadays, the increase in sustainable investments, especially when it comes to energy efficiency in buildings, has been recognised as an important pillar towards reductions in energy consumption. In this context, there is a need for efficient and user-friendly digital tools that can support decision-making procedures for all involved parties in the...
With its in-depth investigation of the opportunities and obstacles facing the region, this book offers data-driven assessments and policy recommendations to guide the process of energy transition in the Gulf Cooperation Council (GCC) region. It provides a comprehensive analysis of the current state of carbon reduction initiatives in the GCC and the...
This paper presents an innovative approach to Extreme Value Analysis (EVA) by introducing the Extreme Value Dynamic Benchmarking Method (EVDBM). EVDBM integrates extreme value theory to detect extreme events and is coupled with the novel Dynamic Identification of Significant Correlation (DISC)-Thresholding algorithm, which enhances the analysis of...
A significant number of buildings remain abandoned in densely
populated urban areas. This study presents a case study of an
abandoned hotel, proposing two intervention scenarios aimed at
adaptive reusing the building as a senior housing facility. The proposed
alternatives are evaluated for their energy performance and technoeconomic feasibility. Th...
Central to achieving the energy transition, heating systems provide essential space heating and hot water in residential and industrial environments. A major challenge lies in effectively profiling large clusters of buildings to improve demand estimation and enable efficient Demand Response (DR) schemes. This paper addresses this challenge by intro...
Smart meter data provide an in-depth perspective on household energy usage. This research leverages on such data to enhance demand response (DR) programs through a novel application of ensemble clustering. Despite its promising capabilities, our literature review identified a notable under-utilization of ensemble clustering in this domain. To addre...
The contemporary era is marked by rapid urban growth and increasing population. A significant, and constantly growing, portion of the global population now resides in major cities, leading to escalating energy demands in urban centers. As urban population is expected to keep on expanding in the near future, the same is also expected to happen with...
Renewable energy valleys (REVs) represent a transformative concept poised to reshape global energy landscapes. These comprehensive ecosystems transition regions from conventional energy sources to sustainable, self-reliant hubs for renewable energy generation, distribution, and consumption. At their core, REVs integrate advanced information and com...
The blockchain has been proposed for use in various applications in the energy field. Although the blockchain has technical strengths, several obstacles affect the application of the technology in energy services. The scope of this study is to highlight and prioritise the most important barriers to such applications. The first step in this directio...
Climate change and energy production and consumption are two inextricably linked concrete concepts of great concern. In an attempt to guarantee our future, the European Union (EU) has prioritized the addressing of both concepts, creating a new social contract between its citizens and the environment. The dazzling progress in its methodologies and a...
Energy behaviours will play a key role in decarbonising the building sector but require the provision of tailored insights to assist occupants to reduce their energy use. Energy disaggregation has been proposed to provide such information on the appliance level without needing a smart meter plugged in to each load. However, the use of public datase...
This paper presents a novel development methodology for artificial intelligence (AI) analytics in energy management that focuses on tailored explainability to overcome the “black box” issue associated with AI analytics. Our approach addresses the fact that any given analytic service is to be used by different stakeholders, with different background...
Tackling climate change is a multidisciplinary process, which affects all aspects of government, on a local, regional and national scale. Local governments are publishing and using data related to climate change response and evidence-based actions, enabling the use of transparent and data-driven solutions. It is essential to provide user-friendly d...
This article includes data collected from public and private buildings in Latvia as part of several projects/tenders funded from the governmental Climate Change Financial Instrument (KPFI) of Republic of Latvia. The data provided consists of information on 445 projects, the activities performed therein, as well as numerical data on CO2 emission and...
The opportunities created in the Greek electric vehicle (EV) market have allowed potential investors to participate in the development of the EV charging infrastructure of the country. Yet, the decision process of relevant stakeholders for strategic investments is challenging, involving the identification of the most promising charging sites from a...
Energy efficiency financing is considered among the top priorities in the energy sector among several stakeholders. In this context, accurately estimating the energy savings achieved by energy efficiency actions before being approved and implemented is of major importance to ensure the optimal allocation of the available financial resources. This s...
The electric vehicle (EV) industry has made significant progress but, in many markets, there are still barriers holding back its advancement. A key issue is the anxiety caused to the drivers by the limited range of current EV models and the inadequate access to charging stations in long-distance trips, as is the case on highways. We propose an intu...
Energy management is crucial for various activities in the energy sector, such as effective exploitation of energy resources, reliability in supply, energy conservation, and integrated energy systems. In this context, several machine learning and deep learning models have been developed during the last decades focusing on energy demand and renewabl...
Accurately forecasting solar plants production is critical for balancing supply and demand and for scheduling distribution networks operation in the context of inclusive smart cities and energy communities. However, the problem becomes more demanding, when there is insufficient amount of data to adequately train forecasting models, due to plants be...
Energy Conservation Measures are mandatory in order to improve buildings' energy performance by using upgraded technologies, systems and installations. However, the lack of accurate techniques for Measurement & Verification (M&V) imposes insurmountable barriers towards their extended financing. The development of precise M&V techniques to estimate...
Mainstreaming energy efficiency financing has been considered a key priority during the last decade among several stakeholders. The capability offered by Multicriteria Decision Analysis to integrate cross-domain financial and energy consumption data, combined with statistical analysis techniques and data abundance, contributes to building the neces...
This study introduces an energy management method that smooths electricity consumption and shaves peaks by scheduling the operating hours of water pumping stations in a smart fashion. Machine learning models are first used to accurately forecast the electricity consumed and produced by renewable energy sources on an hourly level. Then, the forecast...
Energy efficiency from behavioural changes will play a key role in meeting future climate targets. Current energy management actions, however, are still dominated by conventional interventions. Furthermore, demand-side transformations based on behavioural actions are hitherto underrepresented in modelling scenarios informing climate policy. In this...
Replacing existing lignite power plants with cleaner infrastructure serves as a quite complicated problem in the presence of economic, environmental, and societal crucial factors. In the present paper, we explore replacement options for the case of Ptolemaida V lignite power plant, Greece, which is planned to stop its operation by 2028 at the lates...
Energy efficiency is critical for meeting global energy and climate targets, requiring however significant investments. Due to the lack of mature decision-support systems and the utilization of traditional investment mechanisms that focus on the economical aspects of the energy efficiency projects and neglect their environmental impact, such projec...
Energy communities can support the energy transition, by engaging citizens through collective energy actions and generate positive economic, social and environmental outcomes. Renewable Energy Sources (RES) are gaining increasing share in the electricity mix as the economy decarbonises, with Photovoltaic (PV) plants to becoming more efficient and a...
Current climate change threats and increasing CO2 emissions, especially from the building stock, represent a context where action is required. It is necessary to provide efficient manners to manage energy demand in buildings and contribute to a decarbonised future. By combining new technologies, such as artificial intelligence, Internet of things,...
Despite the large number of technology-intensive organisations, their corporate know-how and underlying workforce skill are not mature enough for a successful rollout of Artificial Intelligence (AI) services in the near-term. However, things have started to change, owing to the increased adoption of data democratisation processes, and the capabilit...
The building elements’ thermal transmittance index (known as U value) is the most essential parameter for the estimation of its thermal losses, and subsequently its energy performance. Laboratory measurements of the U value are practically of interest only for pre-fabricated or standardised building elements; hence, the commonly acceptable practice...
Greece has historically been one of the most lignite-dependent countries in Europe, due to the abundant coal resources in the region of Western Macedonia and the municipality of Megalopolis, Arcadia (region of Peloponnese). However, a key part of the National Energy and Climate Plan is to gradually phase out the use of lignite, which includes the d...
This study introduces a framework for assessing the resilience of different European countries against the problem of energy poverty. The proposed framework is established upon two major implementation pillars: capturing stakeholder knowledge and employing a multi-criteria analysis framework in order to provide valuable insights and objective resul...
The transition of the energy system into a more efficient state requires innovative ideas to finance new schemes and engage people into adjusting their behavioural patterns concerning consumption. Effective energy management combined with Information and Communication Technologies (ICTs) open new opportunities for local and regional authorities, bu...
The aim of this chapter is to present an “app-in-context” framework, extending sophisticated Information and Communication Technology (ICT)-based energy management systems in order to empower building occupants to engage in energy efficiency through behavioral change. Innovative user-friendly applications are proposed, to convert data from smart me...
Big data is an ascendant technological concepts and includes smart energy services, such as intelligent energy management, energy consumption prediction and exploitation of Internet of Things (IoT) solutions. As a result, big data technologies will have a significant impact in the energy sector. This paper proposes a high level architecture of a bi...
The energy sector is closely interconnected with the building sector and integrated Information and Communication Technologies (ICT) solutions for effective energy management supporting decision-making at building, district and city level are key fundamental elements for making a city Smart. The available systems are designed and intended exclusive...
Cities are becoming more and more of a focal point for our economies and societies, particularly because of the on-going urbanization, and the trend towards increasingly knowledge intensive economies as well as their growing share of resource consumption and emissions. Energy is an essential component of life in the cities, as it supports the whole...
The main objective of this paper is to present a transparent Decision Support System (DSS) for the energy managers of buildings, which can assist them in setting indoor temperature set point, based on the feedback received by the occupants. Within the proposed DSS, the Thermal Comfort Validator (TCV) tool is introduced, a fully responsive and cross...
Cities are becoming more and more of a focal point for our economies and societies, particularly because of the on-going urbanization, and the trend towards increasingly knowledge intensive economies as well as their growing share of resource consumption and emissions. Energy is an essential component of life in the cities, as it supports the whole...
Purpose
The Renewable Energy Directive 2009/28/EC of the European Union provides another element to cross-border cooperation by allowing Member States to fulfill their 2020 renewable energy sources (RES) targets by implementing joint projects in third countries through the cooperation mechanisms. The purpose of this paper is to assess the country r...
Purpose
This paper aims to investigate the current energy status in the West Balkan countries and the related perspectives for renewable energy sources (RES) cooperation mechanisms, within the framework of RES Directive 2009/28/European Commission (EC), through the elaboration of a SWOT (strengths, weaknesses, opportunities, threats) analysis. Part...
Purpose
This paper aims to explore Turkey’s current energy status with a on renewable energy sources (RES) cooperation mechanisms, within the framework of RES Directive 2009/28/EC. The study uses the SWOT (strengths, weaknesses, opportunities, threats) analysis for drawing results about perspectives of RES cooperation between Turkey and European Un...
One of the major challenges for the implementation of local energy planning is the successful development of a Sustainable Energy Action Plan (SEAP) by the local authorities (especially within the framework of their participation to the Covenant of Mayors’ initiative). This aspect constitutes a decision making problem, since the local authorities h...
Making Smart Energy Cities (SEC) a reality requires an intelligent and integrated assessment and consideration of various data sets, as well as relevant intelligent systems in a transparent and accessible manner. The scope of this paper is to present an innovative package of decision support tools (entitled " OPTIMUS ") for energy managers and ener...