Search Results - Hybrid forecasting algorithm of cooling load

Forecasting performance comparison of two hybrid machine learning models for cooling load of a large-scale commercial building by 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…”
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Hybrid forecasting model of building cooling load based on EMD-LSTM-Markov algorithm by 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…”
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Cooling Load Forecasting Based On Hybrid Machine-Learning Application With Integration Of Meta-heuristic Algorithm by Xiaohui Zhang, Lili Pei

“… This research presents hybrid machine learning models integrated with advanced optimization techniques tailored for accurately predicting Cooling Load in buildings…”
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A hybrid forecasting method for cooling load in large public buildings based on improved long short term memory by 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…”
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A hybrid method of cooling load forecasting for large commercial building based on extreme learning machine by 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…”
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Hybrid forecasting model of building cooling load based on combined neural network by 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…”
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Proposing hybrid prediction approaches with the integration of machine learning models and metaheuristic algorithms to forecast the cooling and heating load of buildings by 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…”
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A hybrid prediction model of improved bidirectional long short-term memory network for cooling load based on PCANet and attention mechanism by 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…”
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Intelligent Load Forecasting for Central Air Conditioning Using an Optimized Hybrid Deep Learning Framework by 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…”
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Multiple Load Forecasting of Integrated Energy System Based on Sequential-Parallel Hybrid Ensemble Learning by 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…”
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Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system by Fu, Guoyin

“… Therefore, a novel deep learning based hybrid approach is originally proposed in this paper for deterministic cooling load forecasting with high accuracy…”
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Advanced forecasting of building energy loads with XGBoost and metaheuristic algorithms integration by Mustaffa, Zuriani, Sulaiman, Mohd Herwan

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Hybrid prediction model for cold load in large public buildings based on mean residual feedback and improved SVR by 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…”
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Multi-Energy Load Prediction Method for Integrated Energy System Based on Fennec Fox Optimization Algorithm and Hybrid Kernel Extreme Learning Machine by 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…”
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Research on cooling load estimation through optimal hybrid models based on Naive Bayes by Xu, Ying

“… Traditional methods simplify real-world complexities, highlighting artificial intelligence’s role in precise cooling load forecasting for energy-efficient building management…”
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Research on ultra-short-term load forecasting method of oil and gas field integrated energy system based on hybrid neural network by 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…”
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Forecasting heating and cooling loads of buildings: a comparative performance analysis by 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…”
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Meta-learning strategy based on user preferences and a machine recommendation system for real-time cooling load and COP forecasting by 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…”
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Dynamic forecast of cooling load and energy saving potential based on Ensemble Kalman Filter for an institutional high-rise building with hybrid ventilation by 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…”
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Forecasting cooling load and water demand of a semi-closed greenhouse using a hybrid modelling approach by 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…”
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