Integrating solar PV systems for energy efficiency in portable cabins: A case study in Kuwait
The rapid growth of energy consumption in densely populated urban areas with limited land
space, especially in hot climates, poses significant challenges. The Australian University of …
space, especially in hot climates, poses significant challenges. The Australian University of …
[HTML][HTML] Integrating sustainable development goals into the architecture curriculum: Experiences and perspectives
Abstract The Sustainable Development Goals (SDGs) play a crucial role in architectural
education, as buildings contribute 39% of global energy-related carbon emissions and 40 …
education, as buildings contribute 39% of global energy-related carbon emissions and 40 …
Interactive and dynamic insights into environmental impacts of a neighborhood: A tight coupling of multi-agent system and dynamic life cycle assessment
Neighborhoods consume large amount of energy and generate substantial pollutant
emissions worldwide, and assessment of the environmental impacts (EIs) has garnered …
emissions worldwide, and assessment of the environmental impacts (EIs) has garnered …
[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 …
[HTML][HTML] Wastewater sample storage for physicochemical and microbiological analysis
Wastewater-based epidemiology (WBE) is a crucial tool for health and environmental
monitoring, providing real-time data on public health indicators by analysis of sewage …
monitoring, providing real-time data on public health indicators by analysis of sewage …
Sub-Hourly Load Forecasting for Community-Level Flexible Appliance Management
C Menos-Aikateriniadis, A Akarepis… - … Joint Conference on …, 2024 - ieeexplore.ieee.org
Very Short-Term Load Forecasting (VSTLF) at a residential level constitutes a challenge
mainly due to the highly volatile end-user consumption patterns as well as data integrity …
mainly due to the highly volatile end-user consumption patterns as well as data integrity …
VoltaVistaMan: Energy Dynamics Intelligent Predictive Analysis Utilizing Bayesian Hyper-Tuned Neural Networks–A Case Study on Switzerland's National Electricity …
Intelligent analytical predictive models' ability to extract intricate patterns from extensive
datasets is crucial in demand forecasting. This capability empowers organizations to …
datasets is crucial in demand forecasting. This capability empowers organizations to …
Optimising Local Multi-Energy Systems for Electricity and Hydrogen Production and Storage
The development of multi-energy systems integrating storage and hydrogen technologies
requires real-time optimisation capabilities using machine learning to enable control and on …
requires real-time optimisation capabilities using machine learning to enable control and on …