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Lucas Pereira

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Research Faculty

Universidade de Aveiro

Portugal

Research Interests

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Professors in Portugal Professors in Energy Engineering Energy Engineering professors in Portugal

Recent Grants

Grant: Open

eGames Lab

Open Date: 2024-12-01

Close Date: 2026-12-31

Grant: Close

SHIFT2DC - Shift to Direct Current

Open Date: 2024-12-01

Close Date:

Grant: Close

AHEAD - AI-informed Holistic EVs integration Approaches for Distribution grids

Open Date: 2024-06-01

Close Date:

Grant: Close

ALAMO - Accurate Federated Learning with Uncertainty Quantification for DER Forecasting Applied to Power Grids Planning and Operation

Open Date: 2024-01-01

Close Date:

Grant: Close

InnoCyPES - Innovative Tools for Cyber-Physical Energy Systems

Open Date: 2023-01-01

Close Date:

Articles (31)

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Collaborators (8)

Guangya Yang

Senior Scientist

Technical University of Denmark

DENMARK

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Nuno Nunes

Full Professor

Instituto Superior Técnico

PORTUGAL

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Massimo Cafaro

Associate Professor

University of Salerno

ITALY

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Hugo Morais

Universidade de Aveiro

PORTUGAL

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Wolf-Gerrit Fruh

Senior Lecturer in Energy Engineering

Heriot-Watt University

UNITED KINGDOM

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Vanessa Cesário

Assistant Professor

Universidade da Madeira

PORTUGAL

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Filipe Quintal

Professor Auxiliar

Universidade da Madeira

PORTUGAL

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Augusto Esteves

Associate Professor

Instituto Superior Técnico

PORTUGAL

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Lucas Pereira

Research Interests

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Recent Grants

Articles (31)

Big data energy systems: A survey of practices and associated challenges

Day-ahead optimization model for renewable energy communities considering load shifting, electric vehicles and vehicle-to-grid technology

Model Predictive Control for Battery Storage in Net-Load Levelling: A Comparison of MILP and Heuristic Strategies Under Perfect and Learned Forecasts

A Real-World Deployment of Federated Learning for Residential Solar PV Power Forecasting

Efficiency Through Simplicity: MLP-Based Approach for Net-Load Forecasting With Uncertainty Estimates in Low-Voltage Distribution Networks

A CIM-Based Graph Data Model for Reliability Studies of Medium-Voltage Cables

The Design and Implementation of a Graph-Based P2P Data Storage Service

Longitudinal Dataset of Net-load, PV Production and Solar Irradiation from Madeira Island, Portugal

Topic: Water and Energy Monitoring and Their Nexus

A comprehensive review of clustering methods applications in electric mobility

Unveiling energy usage patterns in industrial kitchens: From detection to clustering of appliance usage

Leveraging Explainable Artificial Intelligence in Solar Photovoltaic Mappings: Model Explanations and Feature Selection

Identification of Typical Time-Series House Consumption Profiles Based on Unsupervised Learning Techniques

Appliance-Specific Noise-Aware Hyperparameter Tuning for Enhancing Non-Intrusive Load Monitoring Systems

En-join: Speculative LLM Play for Energy Community Engagement and Sustainability Awareness

Meta-evaluating the Effects of Social Preferences on NPC-evaluators in an Energy Community Game

A Metric-Driven Hyperparameter Optimization Framework for EV Charging Occupancy Forecasting Using LSTM and XGBoost

Designing for Simplicity: Lessons from a Minimalist EV Charging App

Empirical Exploration of Energy Estimation Metrics in Load Disaggregation

Machine-Learning Applications in Ports Electrification - A Rapid Review

On the Potential of Tertiary Espresso Machines to Provide Frequency Containment Reserves Services

PROCSIM: An Open-Source Simulator to Generate Energy Community Power Demand and Generation Scenarios

Opportunities and challenges for small-scale flexibility in European electricity markets

Unlocking the Full Potential of Neural NILM: On Automation, Hyperparameters, and Modular Pipelines

ANR: A New Metric to Quantify the Appliance to Noise Ratio in Load Disaggregation Datasets

A Data-Centric Analysis of the Impact of Non-Electric Data on the Performance of Load Disaggregation Algorithms

Benchmark of Electricity Consumption Forecasting Methodologies Applied to Industrial Kitchens

Impact of Forecasting Models Errors in a Peer-to-Peer Energy Sharing Market

Privacy protection in smart meters using homomorphic encryption: An overview

FPSeq2Q: Fully Parameterized Sequence to Quantile Regression for Net-Load Forecasting With Uncertainty Estimates

A residential labeled dataset for smart meter data analytics

Collaborators (8)

Guangya Yang

Nuno Nunes

Massimo Cafaro

Hugo Morais

Wolf-Gerrit Fruh

Vanessa Cesário

Filipe Quintal

Augusto Esteves

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