Enhancing energy efficiency and building performance through BEMS-BIM integration
M Kozlovska, S Petkanic, F Vranay, D Vranay - Energies, 2023 - mdpi.com
This paper presents a comprehensive analysis of the potential benefits and feasibility of
integrating Building Energy Management Systems (BEMSs) with Building Information …
integrating Building Energy Management Systems (BEMSs) with Building Information …
[HTML][HTML] Pattern-driven behaviour for demand-side management: An analysis of appliance use
Energy communities play a key role in the transition to sustainable energy, helping to inform
and engage end-users so that they can become active energy consumers. In practice, trials …
and engage end-users so that they can become active energy consumers. In practice, trials …
Statistical characterization of electricity use profile: Leveraging data analytics for stochastic simulation in a smart campus
LHT Bandória, B Cortes, MC de Almeida - Energy and Buildings, 2024 - Elsevier
On the path to energy transition, advanced metering infrastructures have been installed in
distribution systems to support sustainability goals, generating a substantial volume of …
distribution systems to support sustainability goals, generating a substantial volume of …
High-resolution electric power load data of an industrial park with multiple types of buildings in China
K Zhou, D Hu, R Hu, J Zhou - Scientific Data, 2023 - nature.com
Considering the growing demand for electricity in industrial parks, understanding their
electric power load patterns is critical for improving energy efficiency and ensuring the …
electric power load patterns is critical for improving energy efficiency and ensuring the …
A dataset of income distribution on provincial, urban, and rural levels for China from 2020 to 2100
Projections of future income distributions at subnational levels are becoming increasingly
important for a variety of analyses and evaluations. However, relevant datasets are currently …
important for a variety of analyses and evaluations. However, relevant datasets are currently …
The United States energy consumption and carbon dioxide emissions: a comprehensive forecast using a regression model
The Earth's climate change, colloquially known as global warming, is detrimental to life
across the globe. The most significant contributor to the greenhouse gas (GHG) effect is …
across the globe. The most significant contributor to the greenhouse gas (GHG) effect is …
[HTML][HTML] A stochastic approach to determine the energy consumption and synthetic load profiles of different customer types of rural communities
AA Ashetehe, F Shewarega, BB Gessesse, G Biru… - Scientific African, 2024 - Elsevier
The electricity demand is highly stochastic and unpredictable. This is due to the fact that it is
significantly impacted by a number of factors, including the type of load, weather, time of day …
significantly impacted by a number of factors, including the type of load, weather, time of day …
Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities
Understanding complex systems requires understanding interactions between different
domains and different scales. Pandemic science serves as an exemplar of such complex …
domains and different scales. Pandemic science serves as an exemplar of such complex …
Fidelity and diversity metrics for validating hierarchical synthetic data: Application to residential energy demand
Synthetic data is gaining rapid importance in many application domains due to privacy
issues, bias, lack, or simply unavailability of real data. It is important that the synthetic data …
issues, bias, lack, or simply unavailability of real data. It is important that the synthetic data …
A multi-year campus-level smart meter database
With the growing need for precise campus electricity management, understanding load
patterns is crucial for improving energy efficiency and optimizing energy use. However …
patterns is crucial for improving energy efficiency and optimizing energy use. However …