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 …

[HTML][HTML] Pattern-driven behaviour for demand-side management: An analysis of appliance use

C Cruz, M Tostado-Véliz, E Palomar, I Bravo - Energy and Buildings, 2024 - Elsevier
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 …

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 …

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 …

A dataset of income distribution on provincial, urban, and rural levels for China from 2020 to 2100

M Lei, S Pelz, S Pachauri, W Cai - Scientific Data, 2024 - nature.com
Projections of future income distributions at subnational levels are becoming increasingly
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

KB Keerthana, SW Wu, ME Wu, T Kokulnathan - Sustainability, 2023 - mdpi.com
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 …

[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 …

Synthetic Information and Digital Twins for Pandemic Science: Challenges and Opportunities

G Harrison, P Porebski, J Chen… - 2023 5th IEEE …, 2023 - ieeexplore.ieee.org
Understanding complex systems requires understanding interactions between different
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

S Thorve, A Vullikanti, HS Mortveit… - … Conference on Big …, 2022 - ieeexplore.ieee.org
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 …

A multi-year campus-level smart meter database

M Li, Z Wang, Y Qu, KM Chui, M Leung-Shea - Scientific Data, 2024 - nature.com
With the growing need for precise campus electricity management, understanding load
patterns is crucial for improving energy efficiency and optimizing energy use. However …