Sensor network driven novel hybrid model based on feature selection and SVR to predict indoor temperature for energy consumption optimisation in smart buildings
Energy is a vital resource for smart cities and smart buildings. Maintaining Indoor
temperature to a comfortable level requires energy consumption which comes from several …
temperature to a comfortable level requires energy consumption which comes from several …
Attention mechanism-aided model ensemble method of chiller energy consumption prediction
J Cai, H Yang - International Journal of Refrigeration, 2024 - Elsevier
The chiller energy consumption prediction plays an important role in reducing the building
energy consumption. Continuously improving the performance of the prediction model is the …
energy consumption. Continuously improving the performance of the prediction model is the …
Accurate heating, ventilation and air conditioning system load prediction for residential buildings using improved ant colony optimization and wavelet neural network
Y Huang, C Li - Journal of Building Engineering, 2021 - Elsevier
Accurate prediction of the building load is crucial to ensure the energy saving and improve
the operational efficiency of the heating, ventilation, and air conditioning (HVAC) system. In …
the operational efficiency of the heating, ventilation, and air conditioning (HVAC) system. In …
A review on applications of ANN and SVM for building electrical energy consumption forecasting
The rapid development of human population, buildings and technology application currently
has caused electric consumption to grow rapidly. Therefore, efficient energy management …
has caused electric consumption to grow rapidly. Therefore, efficient energy management …
An energy consumption prediction method for HVAC systems using energy storage based on time series shifting and deep learning
H Liu, Y Liu, X Guo, H Wu, H Wang, Y Liu - Energy and Buildings, 2023 - Elsevier
The prediction of building energy consumption plays a crucial role in responding to energy
demands and achieving low-carbon control through energy saving. In this study, we focused …
demands and achieving low-carbon control through energy saving. In this study, we focused …
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 …
Data-driven based prediction of the energy consumption of residential buildings in Oshawa
Buildings consume about 40% of the global energy. Building energy consumption is affected
by multiple factors, including building physical properties, performance of the mechanical …
by multiple factors, including building physical properties, performance of the mechanical …
Data-driven building energy consumption prediction model based on VMD-SA-DBN
Y Qin, M Zhao, Q Lin, X Li, J Ji - Mathematics, 2022 - mdpi.com
Prediction of building energy consumption using mathematical modeling is crucial for
improving the efficiency of building energy utilization, assisting in building energy …
improving the efficiency of building energy utilization, assisting in building energy …
Forecasting of energy efficiency in buildings using multilayer perceptron regressor with waterwheel plant algorithm hyperparameter
Energy consumption in buildings is gradually increasing and accounts for around forty
percent of the total energy consumption. Forecasting the heating and cooling loads of a …
percent of the total energy consumption. Forecasting the heating and cooling loads of a …
Modeling and short-term prediction of HVAC system with a clustering algorithm
Energy consumption and air quality index (AQI) prediction is important for efficient heating,
ventilation, and air conditioning (HVAC) system operation and management. A data-mining …
ventilation, and air conditioning (HVAC) system operation and management. A data-mining …