Publications
- An Integrated ML-Ops Framework for Automating AI-based Photovoltaic Forecasting
Date: 2023
Publication type: Conference Paper
Author(s): Symeon Chorozoglou, Elissaios Sarmas, Vangelis Marinakis
Abstract: Energy digitization holds significant importance for various energy applications, encompassing aspects like production, consumption, and distribution within power grids. The digital transformation of energy plays a pivotal role in enhancing the integration of Artificial Intelligence (AI) into energy management systems, leveraging extensive datasets. The development of AI systems and the utilization of Machine Learning (ML) techniques empower users with precise predictions related to renewable energy production, thereby expediting the shift towards clean energy. Nevertheless, the effective use of data demands a high level of expertise, thereby excluding energy stakeholders from the benefits modern technologies offer. In this paper, we introduce an AI forecasting system designed to bridge the knowledge gap in data processing methods and ML models for energy stakeholders. This system focuses on delivering a user-friendly interface for photovoltaic (PV) production forecasting by automating the entire ML operations pipeline. Consequently, users can obtain data-driven model results without the need to manually code all the requisite steps for model training and fine-tuning. To demonstrate the system’s capabilities, we provide an experimental application using real PV data from a Portuguese aggregator.
- Democratise Energy Through Energy Activated Citizens and Data-Driven Communities: The ENPOWER Approach
Date: 2024
Publication type: Conference Paper
Author(s): Nektarios Matsagkos, Eleni Kanellou, Afroditi Fragkiadaki, Vasilis Michalakopoulos, Vangelis Marinakis, Haris Doukas
Abstract: The need to ensure a just energy transition and shift towards decentralised energy systems is becoming crucial. The European Commission outlines the need for energy independence, based on two key pillars: (a) diversifying gas supplies; (b) reducing faster the use of fossil fuels in homes, buildings, industry, and power system, by increasing energy efficiency gains and renewables. Energy communities can be a pivotal mechanism in achieving this transition. However, the current social practices, technologies adoption and business models are not sufficiently mature to enable energy citizenship's practices scaling up and replication. There is a need to transform traditional passive energy consumers into active energy citizens enabling them to take full control of their energy usage. To do so engaging with all the principal actors of the energy value chain, and allowing them to achieve energy savings is needed, while increasing their energy efficiency and self-consumption optimisation and transforming energy consumers and communities to digitally enhanced and grid-friendly ones.