A review of data-driven building energy prediction
H Liu, J Liang, Y Liu, H Wu - Buildings, 2023 - mdpi.com
Building energy consumption prediction has a significant effect on energy control, design
optimization, retrofit evaluation, energy price guidance, and prevention and control of COVID …
optimization, retrofit evaluation, energy price guidance, and prevention and control of COVID …
Prediction of electricity consumption based on GM (1, Nr) model in Jiangsu province, China
Abstract In this paper, GM (1, N r) model is established to improve the traditional GM (1, N)
model from three aspects:(1) transforming the original sequence to satisfy the modeling …
model from three aspects:(1) transforming the original sequence to satisfy the modeling …
An analysis of the energy consumption forecasting problem in smart buildings using LSTM
This work explores the process of predicting energy consumption in smart buildings based
on the consumption of devices and appliances. Particularly, this work studies the process of …
on the consumption of devices and appliances. Particularly, this work studies the process of …
eXplainable AI (XAI)-based input variable selection methodology for forecasting energy consumption
This research proposes a methodology for the selection of input variables based on
eXplainable AI (XAI) for energy consumption prediction. For this purpose, the energy …
eXplainable AI (XAI) for energy consumption prediction. For this purpose, the energy …
Machine-learning-based coefficient of performance prediction model for heat pump systems
In a heat pump system, performance is an important indicator that should be monitored for
system optimization, fault diagnosis, and operational efficiency improvement. Real-time …
system optimization, fault diagnosis, and operational efficiency improvement. Real-time …
Comparison of energy prediction models for residential buildings: a case study in Himachal Pradesh, India
Since the beginning of the 21st century, the demand for the consumption of energy has been
increasing globally with the tremendous increase in population. Different studies have …
increasing globally with the tremendous increase in population. Different studies have …
[HTML][HTML] A novel methodology for day-ahead buildings energy demand forecasting to provide flexibility services in energy markets
In future smart grid environment, local energy markets will become a reality to provide
flexibility. Consequently, it will be essential not only to implement accurate energy …
flexibility. Consequently, it will be essential not only to implement accurate energy …
Comfort Study of General Aviation Pilot Seats Based on Improved Particle Swam Algorithm (IPSO) and Support Vector Machine Regression (SVR)
M Zhang, X Zhang, S Gao, Y Zhu - Applied Sciences, 2023 - mdpi.com
Little work has been carried out to predict the comfort of aircraft seats, a component in close
contact with the human body during travel. In order to more accurately predict the nonlinear …
contact with the human body during travel. In order to more accurately predict the nonlinear …
Analysis of the integration of drift detection methods in learning algorithms for electrical consumption forecasting in smart buildings
Buildings are currently among the largest consumers of electrical energy with considerable
increases in CO2 emissions in recent years. Although there have been notable advances in …
increases in CO2 emissions in recent years. Although there have been notable advances in …
Multi-step short-term building energy consumption forecasting based on singular spectrum analysis and hybrid neural network
Short-term building energy consumption forecasting is vital for energy conservation and
emission reduction. However, it is challenging to achieve accurate short-term forecasting of …
emission reduction. However, it is challenging to achieve accurate short-term forecasting of …