EI.A

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Publications

volume 14467, 2024

Energy Informatics - Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6-8, 2023, Proceedings, Part I EI.A 14467 (2024)

2023

José Almeida, Fernando Lezama, João P. Soares, Zita Vale
Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management. EI.A (2023)
Sera Syarmila Sameon, Salman Yussof, Asmidar Abu Bakar, Bo Nørregaard Jørgensen
Incorporating Resilience into the IoT-Based Smart Buildings Architecture. EI.A (2023)
José Almeida, Fernando Lezama, João P. Soares, Zita Vale
Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization. EI.A (2023)
Marie-Pier Trépanier, Louis Gosselin
Impact of Setpoint Control on Indoor Greenhouse Climate Modeling. EI.A (2023)
Jing Zhang, Tianyou Ma, Kan Xu, Zhe Chen, Fu Xiao, Jeremy Ho, Calvin Leung, Sammy Yeung
Smart Data-Driven Building Management Framework and Demonstration. EI.A (2023)
Aviruch Bhatia, Shanmukh Dontu, Vishal Garg, Philip Haves, Reshma Singh
Early Stage Design Methodology for Energy Efficiency in Buildings Using Asynchronous Distributed Task Queues Framework. EI.A (2023)
Marian Turowski, Oliver Neumann, Lisa Mannsperger, Kristof Kraus, Kira Layer, Ralf Mikut, Veit Hagenmeyer
Managing Anomalies in Energy Time Series for Automated Forecasting. EI.A (2023)
Zhipeng Ma, Bo Nørregaard Jørgensen, Michelle Levesque, Mouloud Amazouz, Zheng Ma
Business Models for Digitalization Enabled Energy Efficiency and Flexibility in Industry: A Survey with Nine Case Studies. EI.A (2023)
Keshav Kaushik, Vinayak Naik
A Real-Time Non-Invasive Anomaly Detection Technique for Cooling Systems. EI.A (2023)
Sri Sanketh Uppalapati, Vishal Garg, Vikram Pudi, Jyotirmay Mathur, Rajat Gupta, Aviruch Bhatia
A Novel Approach for Climate Classification Using Agglomerative Hierarchical Clustering. EI.A (2023)
Daniel Anthony Howard, Bo Nørregaard Jørgensen, Zheng Ma
Identifying Best Practice Melting Patterns in Induction Furnaces: A Data-Driven Approach Using Time Series K-Means Clustering and Multi-criteria Decision Making. EI.A (2023)
Dorina Werling, Maximilian Beichter, Benedikt Heidrich, Kaleb Phipps, Ralf Mikut, Veit Hagenmeyer
Automating Value-Oriented Forecast Model Selection by Meta-learning: Application on a Dispatchable Feeder. EI.A (2023)
Synne Krekling Lien, Behzad Najafi, Jayaprakash Rajasekharan
Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review. EI.A (2023)
Luiz G. R. Bernardino, Claudionor F. Nascimento, Wesley Angelino de Souza, Fernando Pinhabel Marafao, Augusto Matheus Dos Santos Alonso
Deep HarDec: Deep Neural Network Applied to Estimate Harmonic Decomposition. EI.A (2023)
Bruno Mota, Pedro Faria, Carlos Ramos
Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach. EI.A (2023)
Christian Skafte Beck Clausen, Bo Nørregaard Jørgensen, Zheng Ma
A Modifiable Architectural Design for Commercial Greenhouses Energy Economic Dispatch Testbed. EI.A (2023)
Balázs András Tolnai, Zheng Ma, Bo Nørregaard Jørgensen
Standard Energy Data Competition Procedure: A Comprehensive Review with a Case Study of the ADRENALIN Load Disaggregation Competition. EI.A (2023)