Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach
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[1] Teresa Wu,et al. Short-term building energy model recommendation system: A meta-learning approach , 2016 .
[2] W. R. Christiaanse. Short-Term Load Forecasting Using General Exponential Smoothing , 1971 .
[3] Athanasios Kehagias,et al. Short term load forecasting using a Bayesian combination method , 1997 .
[4] D. P. Lijesen,et al. Adaptive Forecasting of Hourly Loads Based on Load Measurements and Weather Information , 1971 .
[5] Thong Ngee Goh,et al. A new approach to statistical forecasting of daily peak power demand , 1986 .
[6] Rajesh Kumar,et al. Energy analysis of a building using artificial neural network: A review , 2013 .
[7] T. Chow,et al. Nonlinear autoregressive integrated neural network model for short-term load forecasting , 1996 .
[8] Gongsheng Huang,et al. The study of the dynamic load forecasting model about air-conditioning system based on the terminal user load , 2015 .
[9] Michael Y. Hu,et al. Forecasting with artificial neural networks: The state of the art , 1997 .
[10] Farraj F. Al-ajmi,et al. Simulation of energy consumption for Kuwaiti domestic buildings , 2008 .
[11] Hong-Tzer Yang,et al. A new short-term load forecasting approach using self-organizing fuzzy ARMAX models , 1998 .
[12] Joaquim Melendez,et al. Short-term load forecasting for non-residential buildings contrasting artificial occupancy attributes , 2016 .
[13] JOHN G. CARNEY,et al. Tuning Diversity in Bagged Ensembles , 2000, Int. J. Neural Syst..
[14] G. T. Heinemann,et al. The Relationship Between Summer Weather and Summer Loads - A Regression Analysis , 1966 .
[15] Fu Xiao,et al. A short-term building cooling load prediction method using deep learning algorithms , 2017 .
[16] Jeffrey D. Spitler,et al. The Radiant Time Series Cooling Load Calculation Procedure , 1997 .
[17] Eric Wai Ming Lee,et al. A study of the importance of occupancy to building cooling load in prediction by intelligent approach , 2011 .
[18] S. J. Kiartzis,et al. Short term load forecasting using fuzzy neural networks , 1995 .
[19] Refrigerating. ASHRAE handbook of fundamentals , 1967 .
[20] Eric Wai Ming Lee,et al. Estimation of electrical power consumption in subway station design by intelligent approach , 2013 .
[21] Abdullatif Ben-Nakhi,et al. Cooling load prediction for buildings using general regression neural networks , 2004 .
[22] Lihua Xie,et al. HVAC system optimization––condenser water loop , 2004 .
[23] Hong Soo Lim,et al. Prediction model of Cooling Load considering time-lag for preemptive action in buildings , 2017 .
[24] Kwang-Ho Kim,et al. Implementation of hybrid short-term load forecasting system using artificial neural networks and fuzzy expert systems , 1995 .
[25] Zhiwei Lian,et al. Cooling-load prediction by the combination of rough set theory and an artificial neural-network based on data-fusion technique , 2006 .
[26] Siaw Kiang Chou,et al. Achieving better energy-efficient air conditioning - A review of technologies and strategies , 2013 .
[27] N. D. Reppen,et al. Experience with Weather Sensitive Load Models for Short and Long-Term Forecasting , 1973 .
[28] Ashwin M. Khambadkone,et al. Energy optimization methodology of multi-chiller plant in commercial buildings , 2017 .
[29] Frédéric Magoulès,et al. A review on the prediction of building energy consumption , 2012 .
[30] Jesús M. Zamarreño,et al. Prediction of hourly energy consumption in buildings based on a feedback artificial neural network , 2005 .
[31] Eric Wai Ming Lee,et al. An Intelligence-Based Optimization Model of Passenger Flow in a Transportation Station , 2013, IEEE Transactions on Intelligent Transportation Systems.
[32] George Cybenko,et al. Approximation by superpositions of a sigmoidal function , 1992, Math. Control. Signals Syst..
[33] Jing Zhao,et al. Techniques of applying wavelet de-noising into a combined model for short-term load forecasting , 2014 .
[34] Fu Xiao,et al. Development and validation of a simplified online cooling load prediction strategy for a super high-rise building in Hong Kong , 2013 .
[35] Rafik Belarbi,et al. Analysis of thermal effects of vegetated envelopes: Integration of a validated model in a building energy simulation program , 2015 .
[36] A. C. Liew,et al. Forecasting daily load curves using a hybrid fuzzy-neural approach , 1994 .
[37] Eric Wai Ming Lee,et al. A practical approach to chiller plants’ optimisation , 2018, Energy and Buildings.
[38] Tony N.T. Lam,et al. Artificial neural networks for energy analysis of office buildings with daylighting , 2010 .
[39] H. Manz,et al. Empirical validation of models to compute solar irradiance on inclined surfaces for building energy simulation , 2007 .
[40] G. Gross,et al. Short-term load forecasting , 1987, Proceedings of the IEEE.
[41] Jin Yang,et al. On-line building energy prediction using adaptive artificial neural networks , 2005 .
[42] Michele Banko,et al. Scaling to Very Very Large Corpora for Natural Language Disambiguation , 2001, ACL.
[43] Fan Zhang,et al. Time series forecasting for building energy consumption using weighted Support Vector Regression with differential evolution optimization technique , 2016 .
[44] Robert J. Marks,et al. Electric load forecasting using an artificial neural network , 1991 .
[45] David Lee,et al. ENERNET: Studying the dynamic relationship between building occupancy and energy consumption , 2012 .
[46] B. Dong,et al. Applying support vector machines to predict building energy consumption in tropical region , 2005 .
[47] Gongsheng Huang,et al. Re-evaluation of building cooling load prediction models for use in humid subtropical area , 2013 .
[48] José Luis Míguez,et al. Calibrated simulation of a public library HVAC system with a ground-source heat pump and a radiant floor using TRNSYS and GenOpt , 2015 .
[49] Kody M. Powell,et al. Heating, cooling, and electrical load forecasting for a large-scale district energy system , 2014 .
[50] Eric Wai Ming Lee,et al. An intelligence-based route choice model for pedestrian flow in a transportation station , 2014, Appl. Soft Comput..
[51] Anil K. Jain,et al. Bootstrap Techniques for Error Estimation , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[52] Keigo Yamada,et al. Adaptive Short-Term Forecasting of Hourly Loads Using Weather Information , 1972 .
[53] Andrew Kusiak,et al. Modeling and short-term prediction of HVAC system with a clustering algorithm , 2014 .
[54] R. Chargui,et al. Modeling of a residential house coupled with a dual source heat pump using TRNSYS software , 2014 .
[55] C. Montagud,et al. Development and Experimental Validation of a TRNSYS Dynamic Tool for Design and Energy Optimization of Ground Source Heat Pump Systems , 2017 .
[56] Daniel E. Fisher,et al. Development of a heat balance procedure for calculating cooling loads , 1997 .
[57] Naresh K. Sinha,et al. Short-Term Load Demand Modeling and Forecasting: A Review , 1982, IEEE Transactions on Systems, Man, and Cybernetics.