Prediction of building energy consumption based on PSO - RBF neural network

机译：基于PSO-RBF神经网络的建筑能耗预测。

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At present, building energy conservation is a hot topic in urban construction and energy conservation research. Predicting the trend of energy consumption is very meaningful for a whole building energy management. Compared with the other feed-forward neural networks, RBF network learning faster and the ability of function approximation is stronger, but its performance still need to be improved. We use particle swarm optimization algorithm (PSO) to optimize RBF neural network and use the optimized RBF neural network to predict energy consumption in this article. Used the statistical data of the whole society's monthly electricity consumption published online as a sample, and simulated the forecasting method by MATLAB.

机译：当前，建筑节能是城市建设和节能研究的热点。预测能耗趋势对整个建筑能耗管理非常有意义。与其他前馈神经网络相比，RBF网络学习速度更快，函数逼近能力更强，但其性能仍有待提高。在本文中，我们使用粒子群优化算法（PSO）优化RBF神经网络，并使用优化的RBF神经网络预测能耗。以在线发布的全社会月度用电量统计数据为样本，并通过MATLAB模拟了预测方法。

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来源
《2014 IEEE International Conference on System Science ang Engineering》|2014年|60-63|共4页
会议地点 Shanghai(CN)
作者
Zhang Ying; Qijun Chen;
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作者单位

School of Electronics and Information, Tongji University, Shanghai, China;

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原文格式 PDF
正文语种 eng
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关键词
Approximation methods; Buildings; MATLAB; Real-time systems; Energy consumption prediction; Particle swarm optimization algorithm; RBF neural network;

机译：近似方法；建筑物； MATLAB;实时系统；能耗预测；粒子群优化算法； RBF神经网络；;

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1. Research On Public Building Energy Consumption Prediction Method Based On NAR Neural Network Prediction Technology [J] . Heng-jie Li, Zhen Qiao, Wei Chen, E3S Web of Conferences . 2019,第4期

机译：基于NAR神经网络预测技术的公共建筑能耗预测方法研究。
2. A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building [J] . Hamid R. Khosravani, María Del Mar Castilla, Manuel Berenguel, Energies . 2016,第1期

机译：基于神经网络的生物气候建筑能耗预测模型的比较
3. Time series prediction using RBF neural networks with a nonlinear time-varying evolution PSO algorithm [J] . Cheng-Ming Lee, Chia-Nan Ko Neurocomputing . 2009,第1a3期

机译：使用RBF神经网络和非线性时变演化PSO算法进行时间序列预测
4. Prediction of building energy consumption based on PSO - RBF neural network [C] . Zhang Ying, Qijun Chen IEEE International Conference on System Science ang Engineering . 2014

机译：基于PSO - RBF神经网络的建筑能耗预测
5. A study of neural networks and multiple neural networks in making short-term and long-term time-series prediction of petroleum production and gas consumption. [D] . Nguyen, Hanh Hong. 2003

机译：对神经网络和多重神经网络进行石油产量和天然气消耗的短期和长期时间序列预测的研究。
6. Hybrid Prediction Method for ECG Signals Based on VMD PSR and RBF Neural Network [O] . Fuying Huang, Tuanfa Qin, Limei Wang, 2021

机译：基于VMDPSRRBF神经网络的ECG信号混合预测方法
7. A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building [O] . Hamid R. Khosravani, María Del Mar Castilla, Manuel Berenguel, 2016

机译：基于生物气候建筑神经网络的能耗预测模型比较

Prediction of building energy consumption based on PSO - RBF neural network

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