A systematic review of building electricity use profile models

X Kang, J An, D Yan - Energy and Buildings, 2023 - Elsevier
The building sector contributes significantly to overall energy consumption and carbon
emissions. Improving renewable energy utilization in buildings is of considerable …

[PDF][PDF] Strategic energy management and carbon footprint reduction in university campuses: a comprehensive review

SS Tanavade, GN Patil, CV Sudhir… - International Journal of …, 2023 - zbw.eu
This review paper offers a detailed analysis and summary of current studies related to
energy management and carbon footprint reduction in university campuses. Using insights …

Low-dimensional representation of monthly electricity demand profiles

J Luque, E Personal, F Perez… - … Applications of Artificial …, 2023 - Elsevier
This paper addresses the problem of reducing the number of values required to characterize
an electricity demand profile, which is usually known as its dimensionality. This reduction …

Performance of Pd-Based Membranes and Effects of Various Gas Mixtures on H2 Permeation

K Kian, CM Woodall, J Wilcox, S Liguori - Environments, 2018 - mdpi.com
H2 permeation and separation properties of two Pd-based composite membranes were
evaluated and compared at 400° C and at a pressure range of 150 kPa to 600 kPa. One …

A comparative study on pretreatment methods and dimensionality reduction techniques for energy data disaggregation in home appliances

V Isanbaev, R Baños, FM Arrabal-Campos, C Gil… - Advanced Engineering …, 2022 - Elsevier
Energy meters provide valuable information that can be used to determine important
features such as energy consumption of electrical devices and consumption habits in …

A comprehensive study on integrating clustering with regression for short-term forecasting of building energy consumption: Case study of a green building

Z Ding, Z Wang, T Hu, H Wang - Buildings, 2022 - mdpi.com
Integrating clustering with regression has gained great popularity due to its excellent
performance for building energy prediction tasks. However, there is a lack of studies on …

Feature extraction from building submetering networks using deep learning

A Morán, S Alonso, D Pérez, MA Prada, JJ Fuertes… - Sensors, 2020 - mdpi.com
The understanding of the nature and structure of energy use in large buildings is vital for
defining novel energy and climate change strategies. The advances on metering technology …

Comparative study of continuous hourly energy consumption forecasting strategies with small data sets to support demand management decisions in buildings

D Mariano‐Hernández… - Energy Science & …, 2022 - Wiley Online Library
Buildings are one of the largest consumers of electrical energy, making it important to
develop different strategies to help to reduce electricity consumption. Building energy …

Energy analytics in public buildings using interactive histograms

ID Blanco, AAC Vega, DP López, MD González… - Energy and …, 2017 - Elsevier
In this paper we propose a visual analytics approach based on data cube methods to
provide an insightful analysis of how energy is being used in a group of public buildings …

[PDF][PDF] Eco-friendly energy efficient classrooms and sustainable campus strategies: a case study on energy management and carbon footprint reduction

GN Patil, SS Tanavade - International Journal of Energy Economics and …, 2024 - zbw.eu
This research paper presents a comprehensive study on energy management and carbon
footprint reduction in an educational institutional campus. It focuses on implementing energy …