Data-related tensions in digital servitization ecosystems: A systematic literature review
This article investigates data-related tensions and their corresponding coping strategies
arising from inter-firm collaboration in digital servitization ecosystems. We conducted a …
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 …
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
Buildings connect with multiple information systems like Building Management Systems
(BMS), Energy Management Systems (EMS), IoT devices, Building Information Models …
(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 …
grids and energy markets. However, the non-linearity and non-stationarity of electricity …
Semi-automatic ontology development framework for building energy data management
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 …
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
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 …
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
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 …
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 …
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
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 …
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
ABSTRACT Power-to-Gas (P2G) is an emerging technology aiming to contribute towards
addressing the climate change and environmental degradation. Yet, numerous factors need …
addressing the climate change and environmental degradation. Yet, numerous factors need …