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：目前，建筑节能是城市建设和节能研究中的热门话题。预测能源消耗的趋势对整个建筑能源管理非常有意义。与其他前馈神经网络相比，RBF网络学习更快，功能近似的能力更强，但仍然需要改善其性能。我们使用粒子群优化算法（PSO）来优化RBF神经网络，并使用优化的RBF神经网络来预测本文中的能量消耗。使用整个社会每月电力消耗的统计数据作为样本发布，并模拟Matlab的预测方法。

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《IEEE International Conference on System Science ang Engineering》|2014年||共4页
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Zhang Ying; Qijun Chen;
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中图分类系统工程;
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;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 2014 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

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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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