Data-related tensions in digital servitization ecosystems: A systematic literature review

GS Smania, NF Ayala, W Coreynen… - Industrial Marketing …, 2024 - Elsevier
This article investigates data-related tensions and their corresponding coping strategies
arising from inter-firm collaboration in digital servitization ecosystems. We conducted a …

Digitalization in energy production, distribution, and consumption: A systematic literature review

CP Simion, CA Verdeș, AA Mironescu, FG Anghel - Energies, 2023 - mdpi.com
For this study, we conducted a systematic review of the literature on digitalization in energy
production, distribution, and consumption over a sufficiently long period in order to reveal …

An end-to-end implementation of a service-oriented architecture for data-driven smart buildings

L Chamari, E Petrova, P Pauwels - IEEE Access, 2023 - ieeexplore.ieee.org
Buildings connect with multiple information systems like Building Management Systems
(BMS), Energy Management Systems (EMS), IoT devices, Building Information Models …

[HTML][HTML] A comparative assessment of deep learning models for day-ahead load forecasting: Investigating key accuracy drivers

S Pelekis, IK Seisopoulos, E Spiliotis… - … Energy, Grids and …, 2023 - Elsevier
Short-term load forecasting (STLF) is vital for the effective and economic operation of power
grids and energy markets. However, the non-linearity and non-stationarity of electricity …

Semi-automatic ontology development framework for building energy data management

Z Pan, Y Gao, F Ponci, A Monti - IEEE Access, 2023 - ieeexplore.ieee.org
With the ongoing digital transformation and multi-domain interaction occurring in the
buildings, a huge amount of heterogeneous data is generated and stored on a daily basis …

Semantic-similarity-based schema matching for management of building energy data

Z Pan, G Pan, A Monti - Energies, 2022 - mdpi.com
The increase in heterogeneous data in the building energy domain creates a difficult
challenge for data integration. Schema matching, which maps the raw data from the building …

An advanced visualisation engine with role-based access control for building energy visual analytics

G Kormpakis, P Kapsalis, K Alexakis… - … & Applications (IISA), 2022 - ieeexplore.ieee.org
One of the main challenges of today's societies is the avoidance of the climate change since
the climate crisis in now more evident than ever. Buildings have a large share of total energy …

Method for Using Information Models and Queries to Connect HVAC Analytics and Data

V Kukkonen - Journal of Computing in Civil Engineering, 2023 - ascelibrary.org
A significant portion of the energy used in building operations is wasted due to faults and
poor operation. Despite volumes of research, the real-world use of analytics applications …

Data-driven building energy efficiency prediction based on envelope heat losses using physics-informed neural networks

V Michalakopoulos, S Pelekis, G Kormpakis… - arXiv preprint arXiv …, 2023 - arxiv.org
The analytical prediction of building energy performance in residential buildings based on
the heat losses of its individual envelope components is a challenging task. It is worth noting …

[PDF][PDF] Twinp2g: A digital twin architecture for optimal power-to-gas planning

S Pelekis, E Sarmas, A Georgiadou… - … conferences on e …, 2023 - esociety-conf.org
ABSTRACT Power-to-Gas (P2G) is an emerging technology aiming to contribute towards
addressing the climate change and environmental degradation. Yet, numerous factors need …