Opportunities for machine learning in district heating
G Mbiydzenyuy, S Nowaczyk, H Knutsson… - Applied Sciences, 2021 - mdpi.com
The district heating (DH) industry is facing an important transformation towards more efficient
networks that utilise significantly lower water temperatures to distribute the heat. This …
networks that utilise significantly lower water temperatures to distribute the heat. This …
Smart cities: State of the art and future challenges
JC Augusto - Handbook of smart cities, 2020 - Springer
This chapter concludes the Handbook of Smart Cities. It provides an overview to the
organization of the volume and explains the technical content of the various chapter which …
organization of the volume and explains the technical content of the various chapter which …
A knowledge-based AI framework for mobility as a service
Mobility as a Service (MaaS) combines various modes of transportation to present mobility
services to travellers based on their transport needs. This paper proposes a knowledge …
services to travellers based on their transport needs. This paper proposes a knowledge …
Exploiting big data for smart government: Facing the challenges
A promising vehicle for a smart government is the exploitation of the large amount of
heterogeneous data that becomes available increasingly. The field of Big Data (BD) …
heterogeneous data that becomes available increasingly. The field of Big Data (BD) …
Smaller is smarter: A case for small to medium-sized smart cities
Smart Cities have been around as a concept for quite some time. However, most examples
of Smart Cities (SCs) originate from megacities (MCs), despite the fact that most people live …
of Smart Cities (SCs) originate from megacities (MCs), despite the fact that most people live …
Bandung Smart City: The digital revolution for a sustainable future
D Arfiansyah, H Han - Handbook of smart cities, 2020 - Springer
Urbanization, which is mostly unplanned and sprawling in growth, is a global phenomenon.
The digital revolution based on information and communication technology is leading to …
The digital revolution based on information and communication technology is leading to …
Learning Causal Mechanisms through Orthogonal Neural Networks
PS Mashhadi, S Nowaczyk - arXiv preprint arXiv:2306.03938, 2023 - arxiv.org
A fundamental feature of human intelligence is the ability to infer high-level abstractions from
low-level sensory data. An essential component of such inference is the ability to discover …
low-level sensory data. An essential component of such inference is the ability to discover …