Heating load prediction of residential district using hybrid model based on CNN
A Zhao, L Mi, X Xue, J Xi, Y Jiao - Energy and Buildings, 2022 - Elsevier
Optimal control of heat network in residential district requires accurate short-term heat load
prediction value of each building. However, the current research on residential heat load …
prediction value of each building. However, the current research on residential heat load …
Prediction of HVAC Energy Consumption Using PSO Optimized Deep Neural Network
L Du, X Li, K Wang, Y Li - 2023 IEEE 12th Data Driven Control …, 2023 - ieeexplore.ieee.org
Heating, Ventilation and Air Conditioning (HVAC) system is a highly nonlinear system with a
large amount of complex, coupled inputs. This paper presents a novel prediction method for …
large amount of complex, coupled inputs. This paper presents a novel prediction method for …
A training pattern recognition algorithm based on weight clustering for improving cooling load prediction accuracy of HVAC system
The cooling load-based optimal control is an advanced technology for the efficient operation
of heating, ventilation, and air conditioning (HVAC). Thus, the prediction reliability of cooling …
of heating, ventilation, and air conditioning (HVAC). Thus, the prediction reliability of cooling …
Developing a whole building cooling energy forecasting model for on-line operation optimization using proactive system identification
Optimal automatic operation of buildings and their subsystems in responding to signals from
a smart grid is essential to reduce energy demand, and to improve the power resilience. In …
a smart grid is essential to reduce energy demand, and to improve the power resilience. In …
Prediction of electrical energy consumption based on machine learning technique
R Banik, P Das, S Ray, A Biswas - Electrical engineering, 2021 - Springer
The forecast of electricity demand in recent years is becoming increasingly relevant because
of market deregulation and the introduction of renewable resources. To meet the emerging …
of market deregulation and the introduction of renewable resources. To meet the emerging …
Multi-criteria comprehensive study on predictive algorithm of hourly heating energy consumption for residential buildings
R Wang, S Lu, Q Li - Sustainable Cities and Society, 2019 - Elsevier
The increasing of building energy necessitates reliable energy consumption prediction.
Certain research work is necessary to thoroughly illustrate and compare advantages and …
Certain research work is necessary to thoroughly illustrate and compare advantages and …
A data-driven energy management strategy based on performance prediction for cascade refrigeration systems
Y Li, X Pan, X Liao, Z Xing - International Journal of Refrigeration, 2022 - Elsevier
The cascade refrigeration systems become the preferred choice in the field of cold storage
due to its excellent performance under the condition of low evaporation temperature. Hence …
due to its excellent performance under the condition of low evaporation temperature. Hence …
[HTML][HTML] Artificial neural-network based model to forecast the electrical and thermal efficiencies of PVT air collector systems
In the recent decade, Machine Learning techniques have been widely deployed in solar
systems due their high accuracy in predicting the performances without going through the …
systems due their high accuracy in predicting the performances without going through the …
Hybrid machine learning for time-series energy data for enhancing energy efficiency in buildings
Buildings consume about 40% of the world's energy use. Energy efficiency in buildings is an
increasing concern for the building owners. A reliable energy use prediction model is crucial …
increasing concern for the building owners. A reliable energy use prediction model is crucial …
Neural-network-based building energy consumption prediction with training data generation
The importance of neural network (NN) modelling is evident from its performance benefits in
a myriad of applications, where, unlike conventional techniques, NN modeling provides …
a myriad of applications, where, unlike conventional techniques, NN modeling provides …