Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system
出版年份 2019 全文链接
标题
Proposing a novel predictive technique using M5Rules-PSO model estimating cooling load in energy-efficient building system
作者
关键词
Particle swarm optimization, PSO-M5Rules, Artificial intelligence, Hybrid algorithm
出版物
ENGINEERING WITH COMPUTERS
Volume -, Issue -, Pages -
出版商
Springer Nature
发表日期
2019-04-01
DOI
10.1007/s00366-019-00735-y
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Prediction of Blast-induced Air Over-pressure in Open-Pit Mine: Assessment of Different Artificial Intelligence Techniques
- (2019) Xuan-Nam Bui et al. Natural Resources Research
- Prediction of energetic performance of a building integrated photovoltaic/thermal system thorough artificial neural network and hybrid particle swarm optimization models
- (2019) Abdulwahab A. Alnaqi et al. ENERGY CONVERSION AND MANAGEMENT
- Hybrid artificial intelligence models based on a neuro-fuzzy system and metaheuristic optimization algorithms for spatial prediction of wildfire probability
- (2019) Abolfazl Jaafari et al. AGRICULTURAL AND FOREST METEOROLOGY
- A new soft computing model for estimating and controlling blast-produced ground vibration based on Hierarchical K-means clustering and Cubist algorithms
- (2019) Hoang Nguyen et al. APPLIED SOFT COMPUTING
- Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
- (2019) Abolfazl Jaafari et al. CATENA
- The feasibility of genetic programming and ANFIS in prediction energetic performance of a building integrated photovoltaic thermal (BIPVT) system
- (2019) Wei Gao et al. SOLAR ENERGY
- Experimental evaluation of a prototype hybrid CPV/T system utilizing a nanoparticle fluid absorber at elevated temperatures
- (2018) Todd Otanicar et al. APPLIED ENERGY
- Modelling and optimization of ultimate bearing capacity of strip footing near a slope by soft computing methods
- (2018) Hossein Moayedi et al. APPLIED SOFT COMPUTING
- Parameters Identification using Adaptive Differential Evolution Algorithm Applied on Robust Control of Uncertain Nonlinear System
- (2018) Ho Pham Huy Anh et al. APPLIED SOFT COMPUTING
- Electromechanical properties of Boron Nitride Nanotube: Atomistic bond potential and equivalent mechanical energy approach
- (2018) Mohammad Salavati et al. COMPUTATIONAL MATERIALS SCIENCE
- Computational Intelligence Approaches for Energy Load Forecasting in Smart Energy Management Grids: State of the Art, Future Challenges, and Research Directions
- (2018) Seyedeh Fallah et al. Energies
- Experimental investigation on Peltier based hybrid PV/T active solar still for enhancing the overall performance
- (2018) P. Pounraj et al. ENERGY CONVERSION AND MANAGEMENT
- A Hybrid clustering and classification technique for forecasting short-term energy consumption
- (2018) Mehrnoosh Torabi et al. Environmental Progress & Sustainable Energy
- Artificial intelligence design charts for predicting friction capacity of driven pile in clay
- (2018) Hossein Moayedi et al. NEURAL COMPUTING & APPLICATIONS
- Partial multi-dividing ontology learning algorithm
- (2018) Wei Gao et al. INFORMATION SCIENCES
- A comparative study of artificial neural networks in predicting blast-induced air-blast overpressure at Deo Nai open-pit coal mine, Vietnam
- (2018) Hoang Nguyen et al. NEURAL COMPUTING & APPLICATIONS
- Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
- (2018) Wei Chen et al. CATENA
- Shear strength prediction of steel fiber reinforced concrete beam using hybrid intelligence models: A new approach
- (2018) Zaher Mundher Yaseen et al. ENGINEERING STRUCTURES
- A predictive method for hepatitis disease diagnosis using ensembles of neuro-fuzzy technique
- (2018) Mehrbakhsh Nilashi et al. Journal of Infection and Public Health
- Predicting Blast-Induced Air Overpressure: A Robust Artificial Intelligence System Based on Artificial Neural Networks and Random Forest
- (2018) Hoang Nguyen et al. Natural Resources Research
- Optimizing an ANN model with ICA for estimating bearing capacity of driven pile in cohesionless soil
- (2017) Hossein Moayedi et al. ENGINEERING WITH COMPUTERS
- An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand
- (2017) Hossein Moayedi et al. NEURAL COMPUTING & APPLICATIONS
- Evaluation of Maintained Load Test (MLT) and Pile Driving Analyzer (PDA) in Measuring Bearing Capacity of Driven Reinforced Concrete Piles
- (2017) H. Moayedi et al. Soil Mechanics and Foundation Engineering
- Nano properties analysis via fourth multiplicative ABC indicator calculating
- (2017) Wei Gao et al. Arabian Journal of Chemistry
- Study of biological networks using graph theory
- (2017) Wei Gao et al. SAUDI JOURNAL OF BIOLOGICAL SCIENCES
- Prediction of maintenance cost for road construction equipment: a case study
- (2016) Sharif Mohammad Bayzid et al. CANADIAN JOURNAL OF CIVIL ENGINEERING
- Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks
- (2016) Chirag Deb et al. ENERGY AND BUILDINGS
- Energy conservation and power bonds in co-simulations: non-iterative adaptive step size control and error estimation
- (2016) Severin Sadjina et al. ENGINEERING WITH COMPUTERS
- An energy-efficient reliable grid scheduling model using NSGA-II
- (2015) Achal Kaushik et al. ENGINEERING WITH COMPUTERS
- Construction of knowledge-based spatial decision support system for landslide mapping using fuzzy clustering and KPSO analysis
- (2014) Shiuan Wan et al. Arabian Journal of Geosciences
- An algorithm to generate space boundaries for building energy simulation
- (2013) Cody M. Rose et al. ENGINEERING WITH COMPUTERS
- Accurate quantitative estimation of energy performance of residential buildings using statistical machine learning tools
- (2012) Athanasios Tsanas et al. ENERGY AND BUILDINGS
- Calculation of the energy provided by a PV generator. Comparative study: Conventional methods vs. artificial neural networks
- (2010) F. Almonacid et al. ENERGY
- Experimental investigation and modeling of a direct-coupled PV/T air collector
- (2010) A. Shahsavar et al. SOLAR ENERGY
- Estimation of the energy of a PV generator using artificial neural network
- (2009) F. Almonacid et al. RENEWABLE ENERGY
- A distributed PSO–SVM hybrid system with feature selection and parameter optimization
- (2007) Cheng-Lung Huang et al. APPLIED SOFT COMPUTING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationBecome a Peeref-certified reviewer
The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.
Get Started