Suchergebnisse - Hybrid forecasting algorithm of cooling load

Forecasting performance comparison of two hybrid machine learning models for cooling load of a large-scale commercial building von Xuan, Zhou, Xuehui, Zi, Liequan, Liang, Zubing, Fan, Junwei, Yan, Dongmei, Pan

“… The hourly cooling load forecasting of a commercial building is very hard to be guaranteed with high accuracy …”
Volltext

Hybrid forecasting model of building cooling load based on EMD-LSTM-Markov algorithm von Huang, Xiaofei, Han, Yangming, Yan, Junwei, Zhou, Xuan

“… Precise forecasting of the cooling load (CL) of buildings is crucial for the efficient functioning of central air conditioning systems …”
Volltext

Cooling Load Forecasting Based On Hybrid Machine-Learning Application With Integration Of Meta-heuristic Algorithm von Xiaohui Zhang, Lili Pei

“… This research presents hybrid machine learning models integrated with advanced optimization techniques tailored for accurately predicting Cooling Load in buildings …”
Volltext

A hybrid forecasting method for cooling load in large public buildings based on improved long short term memory von Liu, Zongyi, Yu, Junqi, Feng, Chunyong, Su, Yucong, Dai, Junwei, Chen, Yufei

“… In order to improve the operational efficiency of the air conditioning system, it is crucial to establish an accurate and effective cooling load forecasting model …”
Volltext

A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine von Gao, Zhikun, Yu, Junqi, Zhao, Anjun, Hu, Qun, Yang, Siyuan

“… Air conditioning system is extensively used in large commercial buildings. The fast and accurate building cooling load forecasting is the basis for improving …”
Volltext

Hybrid forecasting model of building cooling load based on combined neural network von Gao, Zhikun, Yang, Siyuan, Yu, Junqi, Zhao, Anjun

“… ) and long short-term memory neural network (BAS-LSTM) optimized by beetle antennae search algorithm is proposed for building cooling load prediction …”
Volltext

Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings von Dasi, He, Ying, Zhang, Ashab, MD Faisal Bin

“… Accurate prediction of heating and cooling loads in residential buildings is crucial for both researchers and practitioners …”
Volltext

A hybrid prediction model of improved bidirectional long short-term memory network for cooling load based on PCANet and attention mechanism von Yan, Xiuying, Ji, Xingxing, Meng, Qinglong, Sun, Hang, Lei, Yu

“… Accurate and reliable cooling load forecasting is a prerequisite for air-conditioning system control and the basis for building-side energy management …”
Volltext

Intelligent Load Forecasting for Central Air Conditioning Using an Optimized Hybrid Deep Learning Framework von He, Wei, Hua, Rui, Xiao, Yulong, Liu, Yuce, Zhou, Chaohui, Li, Chaoshun

“… To address these issues, this study proposes a novel hybrid forecasting model termed IWOA-BiTCN-BiGRU-SA, which integrates the Improved Whale Optimization Algorithm (IWOA …”
Volltext

Multiple Load Forecasting of Integrated Energy System Based on Sequential-Parallel Hybrid Ensemble Learning von You, Wenxia, Guo, Daopeng, Wu, Yonghua, Li, Wenwu

“… In order to simultaneously reduce the prediction bias and variance, a hybrid ensemble learning method for load forecasting of an integrated energy system combining sequential ensemble learning …”
Volltext

Advanced forecasting of building energy loads with XGBoost and metaheuristic algorithms integration von Mustaffa, Zuriani, Sulaiman, Mohd Herwan

Volltext

Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system von Fu, Guoyin

“… Therefore, a novel deep learning based hybrid approach is originally proposed in this paper for deterministic cooling load forecasting with high accuracy …”
Volltext

Hybrid prediction model for cold load in large public buildings based on mean residual feedback and improved SVR von Liu, Haiyan, Yu, Junqi, Dai, Junwei, Zhao, Anjun, Wang, Meng, Zhou, Meng

“… •TGRF is proposed for mean residual feedback to improve the model accuracy.•SSA is improved using three strategies to enhance the algorithm performance …”
Volltext

Multi-Energy Load Prediction Method for Integrated Energy System Based on Fennec Fox Optimization Algorithm and Hybrid Kernel Extreme Learning Machine von Shen, Yang, Li, Deyi, Wang, Wenbo

“… the difficulty of forecasting. Therefore, this article puts forward a multi-energy load prediction approach of the IES, which combines the fennec fox optimization algorithm (FFA …”
Volltext

Research on cooling load estimation through optimal hybrid models based on Naive Bayes von Xu, Ying

“… Traditional methods simplify real-world complexities, highlighting artificial intelligence’s role in precise cooling load forecasting for energy-efficient building management …”
Volltext

Research on ultra-short-term load forecasting method of oil and gas field integrated energy system based on hybrid neural network von Zhang, Zhao, Dong, Dezhi, Lv, Lili, Peng, Liyuan, Li, Bing, Peng, Miao, Cheng, Tingting

“… Aiming at the source-network-load coordination requirements of distributed new energy and cooling, heating and electricity loads in oil and gas fields, this paper proposes an ultra-short-term load …”
Volltext

Forecasting heating and cooling loads of buildings: a comparative performance analysis von Roy, Sanjiban Sekhar, Samui, Pijush, Nagtode, Ishan, Jain, Hemant, Shivaramakrishnan, Vishal, Mohammadi-ivatloo, Behnam

“… Heating load and cooling load forecasting are crucial for estimating energy consumption and improvement of energy performance during the design phase of buildings …”
Volltext

Meta-learning strategy based on user preferences and a machine recommendation system for real-time cooling load and COP forecasting von Li, Wenqiang, Gong, Guangcai, Fan, Houhua, Peng, Pei, Chun, Liang

“… (subjective and objective) user preferences.•Multi-objective decision making algorithms (MODMA) are used in option optimization …”
Volltext

Dynamic forecast of cooling load and energy saving potential based on Ensemble Kalman Filter for an institutional high-rise building with hybrid ventilation von Hou, Danlin, Lin, Cheng-Chun, Katal, Ali, Wang, Liangzhu (Leon)

“… Combining natural and mechanical ventilation, hybrid ventilation is an effective approach to reduce cooling energy consumption …”
Volltext

Forecasting cooling load and water demand of a semi-closed greenhouse using a hybrid modelling approach von Mahmood, Farhat, Govindan, Rajesh, Yang, David, Bermak, Amine, Al-Ansari, Tareq

“… Forecasting the greenhouse cooling and water demand is critical for improving the performance, reducing energy consumption, and operating costs throughout the year …”
Volltext