Publications and Talks

@article{Howell2018,
title = {User Centered Neuro-Fuzzy Energy Management Through Semantic-Based Optimization},
author = {Howell, Shaun; Wicaksono, Hendro; Yuce, Baris; McGlinn, Kris; Rezgui, Yacine},
url = {https://ieeexplore.ieee.org/document/8412214/},
doi = {10.1109/TCYB.2018.2839700},
issn = {2168-2267},
year = {2018},
date = {2018-07-19},
journal = {IEEE Transactions on Cybernetics},
pages = {1-15},
abstract = {This paper presents a cloud-based building energy management system, underpinned by semantic middleware, that integrates an enhanced sensor network with advanced analytics, accessible through an intuitive Web-based user interface. The proposed solution is described in terms of its three key layers: 1) user interface; 2) intelligence; and 3) interoperability. The system's intelligence is derived from simulation-based optimized rules, historical sensor data mining, and a fuzzy reasoner. The solution enables interoperability through a semantic knowledge base, which also contributes intelligence through reasoning and inference abilities, and which are enhanced through intelligent rules. Finally, building energy performance monitoring is delivered alongside optimized rule suggestions and a negotiation process in a 3-D Web-based interface using WebGL. The solution has been validated in a real pilot building to illustrate the strength of the approach, where it has shown over 25% energy savings. The relevance of this paper in the field is discussed, and it is argued that the proposed solution is mature enough for testing across further buildings.},
keywords = {Artificial neural network, building energy management, data mining, Fuzzy logic, Genetic algorithm, middleware, Ontology, optimization, semantic web, WebGL},
pubstate = {published},
tppubtype = {article}
}

@inproceedings{Wicaksono2017,
title = {Einsatz von (Open)-Linked-Data für Gebäudeinformationsmodellierung},
author = {Hendro Wicaksono },
editor = {Open Experience GmbH},
url = {https://openexperience.de/Forum_Digitale_Transformation_des_Baubetriebs_in_der_Praxis.html#Tagungsband},
year = {2017},
date = {2017-01-19},
booktitle = {Forum Digitale Transformation des Baubetriebs in der Praxis},
volume = {1},
publisher = {openexperience.de},
keywords = {building energy management, linked data},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{McGlinn2016b,
title = {Identifying use cases and data requirements for BIM based energy management},
author = {Kris McGlinn and Hendro Wicaksono and Willie Lawton and Matthias Wiese and and Nikolaos Kaklanis and Ioanna Petri and Dimitrios Tzovaras},
url = {https://www.cibse.org/knowledge/knowledge-items/detail?id=a0q20000008I71X},
year = {2016},
date = {2016-04-15},
publisher = {CIBSE},
abstract = {Energy consumption over the whole Building Lifecycle (BLC) is difficult to monitor and predict due to the complexity of the processes involved. Building Information Modelling (BIM) addresses the management and interoperability of the data exchanged between different computer applications employed at different stages of the BLC. Industry Foundation Classes (IFC) is a leading standard of BIM implementation. As yet, IFC does not cover all data structures to meet the latest use case data requirements for energy management. Linking IFC with other available ontologies is one potential solution. In this paper 46 unique use cases are identified over 33 EU projects in the Energy Efficient Building domain and explored in order to identify the most relevant data domains across projects. These data domains will form the basis of a process of alignment of project data models with existing standards and ontologies. It will also provide the basis of guidelines for new projects wishing to improve interoperability.},
keywords = {building energy management, building information modelling, building lifecycle management, Energy efficient building, linked data, use cases},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Anzaldi2014,
title = {Knoholem: Knowledge-Based Energy Management for Public Buildings Through Holistic Information Modeling and 3D Visualization},
author = {Gabriel Anzaldi and Aitor Corchero and Hendro Wicaksono and Kris McGlinn and Anton Gardelan and Michael J. Dibley},
editor = {Ignacio Gonzalez},
url = {http://www.springer.com/de/book/9783319023311},
doi = {10.1007/978-3-319-02332-8},
isbn = {978-3-319-02332-8},
year = {2014},
date = {2014-01-09},
booktitle = {International Technology Robotics Applications},
volume = {70},
number = {1},
pages = {47-56},
publisher = {Springer International Publishing},
address = {Switzerland},
organization = {Springer International Publishing Switzerland},
abstract = {The mismanagement of energy in public buildings is related with the continuous growing up of energy consumption. Energy efficiency concept is one of the main awareness in the current society. The main contribution of the paper is focused on describing intelligent energy management architecture capable of intelligent generation of recommendations taking into account infrastructure behavior (building), user behavior (occupants of the building) and holistic techniques (recommendations and knowledge from other buildings). This article describes an approach developed under European Union project called
KnoHolEM. Project solution is characterized by:(1) Support buildings in (near-) real-time energy monitoring through smart metering;(2) Knowledge-based development of intelligent energy management solutions, supporting interoperability between heterogeneous systems and assisted by algorithms for energy consumption.},
keywords = {building energy management, building information modelling, knowledge based energy management, Ontology},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Wicaksono2013e,
title = {Intelligent knowledge generation for energy management in buildings },
author = {Hendro Wicaksono and Preslava Dobreva},
editor = {Wolfgang Breh},
url = {https://publikationen.bibliothek.kit.edu/1000036425/2888062},
doi = {10.5445/KSP/1000036425},
isbn = {978-3-7315-0097-1},
year = {2013},
date = {2013-06-13},
booktitle = {Impulse für die Zukunft der Energie : Wissenschaftliche Beiträge des KIT zur 2. Jahrestagung des KIT-Zentrums Energie. Doktorandensymposium, 13.06.2013},
pages = {73-78},
publisher = {KIT Scientific Publishing},
address = {Karlsruhe},
organization = {Zentrum Energie (Karlsruhe)},
abstract = {Energy consumption in buildings is currently representing a significant percentage of the whole energy consumption on earth. The EU responds to this trend by dedicated policy making and financially supporting research activities in the field of efficiency improvement without decreasing inhabitants comfort. This paper describes a method for intelligent energy management in public buildings, going behind classical data-driven approaches commonly used by BMS solutions. An ontology based approach for energy analysis offering extended concept for automated population, self-learning mechanisms and integration to other systems. Furthermore we demonstrate how the energy performance analysis is improved using the ontology based approach. },
keywords = {building energy management, energy efficiency, energy performance indicator, knowledge management, Ontology, ontology engineering, ontology population},
pubstate = {published},
tppubtype = {inproceedings}
}

@inbook{Wicaksono2012,
title = {An Intelligent System for Improving Energy Efficiency in Building Using Ontology and Building Automation Systems},
author = {Hendro Wicaksono and Kiril Aleksandrov and Sven Rogalski },
editor = {Florian Kongoli},
url = {https://www.intechopen.com/books/automation/an-intelligent-system-for-improving-energy-efficiency-in-building-using-ontology-and-building-automa},
doi = {10.5772/48006},
isbn = {978-953-51-0685-2},
year = {2012},
date = {2012-07-25},
publisher = {IntechOpen},
keywords = {building energy management, data mining, energy efficiency, machine learning, Ontology},
pubstate = {published},
tppubtype = {inbook}
}