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ORCID3rd EIA 2023: Campinas, Brazil - Part I
- Bo Nørregaard Jørgensen
, Luiz Carlos Pereira da Silva, Zheng Ma:
Energy Informatics - Third Energy Informatics Academy Conference, EI.A 2023, Campinas, Brazil, December 6-8, 2023, Proceedings, Part I. Lecture Notes in Computer Science 14467, Springer 2024, ISBN 978-3-031-48648-7
AI Methods in Energy
- Marian Turowski, Oliver Neumann, Lisa Mannsperger, Kristof Kraus, Kira Layer, Ralf Mikut, Veit Hagenmeyer:
Managing Anomalies in Energy Time Series for Automated Forecasting. 3-29 - José Almeida, Fernando Lezama, João P. Soares, Zita Vale:
Illuminating Metaheuristic Performance Using Vortex MAP-Elites for Risk-Based Energy Resource Management. 30-43 - José Almeida, Fernando Lezama, João P. Soares, Zita Vale:
Comparing Manual vs Automatic Tuning of Differential Evolution Strategies for Energy Resource Management Optimization. 44-59 - 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. 60-76 - 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. 77-94 - 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. 95-116
Data-Driven Smart Buildings
- 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. 119-134 - Keshav Kaushik, Vinayak Naik:
A Real-Time Non-Invasive Anomaly Detection Technique for Cooling Systems. 135-151 - Sri Sanketh Uppalapati, Vishal Garg, Vikram Pudi, Jyotirmay Mathur, Rajat Gupta, Aviruch Bhatia:
A Novel Approach for Climate Classification Using Agglomerative Hierarchical Clustering. 152-167 - Jing Zhang, Tianyou Ma, Kan Xu, Zhe Chen, Fu Xiao, Jeremy Ho, Calvin Leung, Sammy Yeung:
Smart Data-Driven Building Management Framework and Demonstration. 168-178 - Synne Krekling Lien, Behzad Najafi, Jayaprakash Rajasekharan:
Advances in Machine-Learning Based Disaggregation of Building Heating Loads: A Review. 179-201 - Sera Syarmila Sameon, Salman Yussof, Asmidar Abu Bakar, Bo Nørregaard Jørgensen:
Incorporating Resilience into the IoT-Based Smart Buildings Architecture. 202-212
Energy and Industry 4.0
- Marie-Pier Trépanier, Louis Gosselin:
Impact of Setpoint Control on Indoor Greenhouse Climate Modeling. 215-233 - Christian Skafte Beck Clausen, Bo Nørregaard Jørgensen, Zheng Ma:
A Modifiable Architectural Design for Commercial Greenhouses Energy Economic Dispatch Testbed. 234-252 - 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. 253-270 - 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. 271-288 - Bruno Mota, Pedro Faria, Carlos Ramos:
Machine Learning Applied to Industrial Machines for an Efficient Maintenance Strategy: A Predictive Maintenance Approach. 289-299
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