Energy and Climate Data Visualization and Analysis for Energy Communities Using Artificial Intelligence Techniques

• Grant number: 25/13023-6
• Support Opportunities: Regular Research Grants
• Start date: October 01, 2025
• End date: September 30, 2026
• Field of knowledge: Interdisciplinary Subjects
• Principal Investigator: Joel David Melo Trujillo
• Grantee: Joel David Melo Trujillo
• Host Institution: Centro de Engenharia, Modelagem e Ciências Sociais Aplicadas (CECS). Universidade Federal do ABC (UFABC). Ministério da Educação (Brasil). Santo André , SP, Brazil
• Associated research grant: 24/14894-8 - SUSTAINABLE PLANNING OF POWER DISTRIBUTION NETWORKS WITH ENERGY COMMUNITIES IN THE CONTEXT OF CLIMATE CHANGE, AP.R

Abstract

This Scientific Initiation project is part of a broader research initiative funded by FAPESP under the "Auxílio Regular" grant modality, which aims to develop sustainable planning strategies for power distribution networks involving connected energy communities, considering the challenges posed by climate change. The advancement of digitalization and the growing availability of open data on energy consumption, generation, climate, and socioeconomic indicators open new possibilities for innovative solutions that engage consumers in the energy transition and strengthen the resilience of electrical systems against extreme events.In this context, two activity plans are proposed for undergraduate research students, who will work in coordination with three master's students funded by the FAPESP project and one DTI-C fellow supported by a CNPq-funded initiative. Both undergraduate students will also benefit from the institutional support of the Santo André Technology Park, which collaborates in the development of the Open Energy Data Lake and connects the project with local innovation actors, including companies, startups, and research institutions.The first undergraduate research student will contribute to organizing and analyzing data from 25 public meteorological stations installed in the city of Santo André, supporting the consolidation of the Open Energy Data Lake. The student will apply artificial intelligence (AI) techniques to fill missing data using historical records from nearby stations and will develop methods for verifying the physical consistency of the data, with guidance from researchers in the main project. The approaches to be explored may include statistical models, supervised learning, and recurrent neural networks. It is expected that these techniques will later be applied to real-time data processing, enhancing the reliability of the Data Lake.The second undergraduate research student will be responsible for developing a functional prototype of a web/mobile application focused on usability, accessibility, and personalization. The tool will allow members of energy communities to visualize their consumption, generation, and climate data in a clear and meaningful way. The system will use AI algorithms to provide adaptive visualizations, sustainable practice recommendations, and climate alerts. The prototype will be tested in collaboration with stakeholders from the Santo André Technology Park's innovation network, following user-centered design principles. Additionally, the student will participate in producing the Climate Bulletin for the ABC Region, currently published by UFABC researchers, thereby expanding the social impact of the solution.The planned activities will contribute to the development of skilled human resources in data science, AI, energy planning, and sustainable digital technologies. Expected outcomes include tools for climate and energy monitoring, support for local community decision-making, and contributions to public policies on energy inclusion and climate adaptation. Although the case study focuses on the city of Santo André, the project will serve as a pilot, and both undergraduate students will be involved in outreach activities, workshops, and seminars aimed at promoting the replication of results in other Brazilian municipalities. The products developed - the processed database and the application - will be made openly available to encourage their use by researchers, public managers, and institutions interested in technological solutions for a fair and sustainable energy transition. (AU)