A deep learning framework for building energy consumption forecast
Increasing global building energy demand, with the related economic and environmental
impact, upsurges the need for the design of reliable energy demand forecast models. This …
impact, upsurges the need for the design of reliable energy demand forecast models. This …
Towards developing a systematic knowledge trend for building energy consumption prediction
The rapid depletion of natural sources of energy, coupled with increasing global population
has triggered the emergence of various techniques and strategies for building energy …
has triggered the emergence of various techniques and strategies for building energy …
DB-Net: A novel dilated CNN based multi-step forecasting model for power consumption in integrated local energy systems
In the era of cutting edge technology, excessive demand for electricity is rising day by day,
due to the exponential growth of population, electricity reliant vehicles, and home …
due to the exponential growth of population, electricity reliant vehicles, and home …
Short-term prediction of residential power energy consumption via CNN and multi-layer bi-directional LSTM networks
Excessive Power Consumption (PC) and demand for power is increasing on a daily basis,
due to advancements in technology, the rise in electricity-dependent machinery, and the …
due to advancements in technology, the rise in electricity-dependent machinery, and the …
A hybrid forecasting method for cooling load in large public buildings based on improved long short term memory
Z Liu, J Yu, C Feng, Y Su, J Dai, Y Chen - Journal of Building Engineering, 2023 - Elsevier
Air conditioning system in large public buildings have great potential for energy saving. In
order to improve the operational efficiency of the air conditioning system, it is crucial to …
order to improve the operational efficiency of the air conditioning system, it is crucial to …
[HTML][HTML] A prediction methodology of energy consumption based on deep extreme learning machine and comparative analysis in residential buildings
In this paper, we have proposed a methodology for energy consumption prediction in
residential buildings. The proposed method consists of four different layers, namely data …
residential buildings. The proposed method consists of four different layers, namely data …
[HTML][HTML] Diving deep into short-term electricity load forecasting: comparative analysis and a novel framework
In this article, we present an in-depth comparative analysis of the conventional and
sequential learning algorithms for electricity load forecasting and optimally select the most …
sequential learning algorithms for electricity load forecasting and optimally select the most …
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 …
[HTML][HTML] PSO based optimized ensemble learning and feature selection approach for efficient energy forecast
Swarm intelligence techniques with incredible success rates are broadly used for various
irregular and interdisciplinary topics. However, their impact on ensemble models is …
irregular and interdisciplinary topics. However, their impact on ensemble models is …