Electrical load forecasting models: A critical systematic review
C Kuster, Y Rezgui, M Mourshed - Sustainable cities and society, 2017 - Elsevier
Electricity forecasting is an essential component of smart grid, which has attracted
increasing academic interest. Forecasting enables informed and efficient responses for …
increasing academic interest. Forecasting enables informed and efficient responses for …
A review of data-driven building performance analysis and design on big on-site building performance data
Building performance design (BPD) is a crucial pathway to achieve high-performance
buildings. Previous simulation-based BPD is being questioned due to the performance gaps …
buildings. Previous simulation-based BPD is being questioned due to the performance gaps …
Machine learning approaches for estimating commercial building energy consumption
Building energy consumption makes up 40% of the total energy consumption in the United
States. Given that energy consumption in buildings is influenced by aspects of urban form …
States. Given that energy consumption in buildings is influenced by aspects of urban form …
Supervised based machine learning models for short, medium and long-term energy prediction in distinct building environment
The substantial measure of energy usage connected to the building atmosphere supports
and sustains power usage modeling diligence. Amongst the numerous strategies to …
and sustains power usage modeling diligence. Amongst the numerous strategies to …
Residential water and energy consumption prediction at hourly resolution based on a hybrid machine learning approach
Predicting water and energy consumption at high resolution over a short-term horizon is
critical for water and energy resource management. Water and energy are shown to be …
critical for water and energy resource management. Water and energy are shown to be …
Statistical analysis of driving factors of residential energy demand in the greater Sydney region, Australia
H Fan, IF MacGill, AB Sproul - Energy and Buildings, 2015 - Elsevier
The residential sector represents some 30% of global electricity consumption but the
underlying composition and drivers are still only poorly understood. The drivers are many …
underlying composition and drivers are still only poorly understood. The drivers are many …
[HTML][HTML] Estimating the building based energy consumption as an anthropogenic contribution to urban heat islands
Today the implication of buildings' electricity demand on the outdoor climate around
buildings is not fully understood. For tropical cities like Singapore, where air-conditioning is …
buildings is not fully understood. For tropical cities like Singapore, where air-conditioning is …
Characterisation of Australian apartment electricity demand and its implications for low-carbon cities
Understanding of residential electricity demand has application in efficient building design,
network planning and broader policy and regulation, as well as in planning the deployment …
network planning and broader policy and regulation, as well as in planning the deployment …
Urban energy flux: Spatiotemporal fluctuations of building energy consumption and human mobility-driven prediction
N Mohammadi, JE Taylor - Applied energy, 2017 - Elsevier
Urbanization is causing a significant increase in the amount, diversity, and complexity of
human activities, all of which have a substantial impact on energy consumption. Current …
human activities, all of which have a substantial impact on energy consumption. Current …
A Reinforcement Learning Approach for Ensemble Machine Learning Models in Peak Electricity Forecasting
W Pannakkong, VT Vinh, NNM Tuyen… - Energies, 2023 - mdpi.com
Electricity peak load forecasting plays an important role in electricity generation capacity
planning to ensure reliable power supplies. To achieve high forecast accuracy, multiple …
planning to ensure reliable power supplies. To achieve high forecast accuracy, multiple …