位置：成果数据库 > 期刊 > 期刊详情页
Using multi-output feedforward neural network with empirical mode decomposition based signal filteri
  • ISSN号：0360-5442
  • 期刊名称：Energy
  • 时间：2013.1.1
  • 页码：279-288
  • 相关项目：电网安全预警管理中的负荷预测研究及应用
作者： Weigang Zhao|Jianzhou Wang|Duo Shang|Erdong Zhao|
同期刊论文项目
电网安全预警管理中的负荷预测研究及应用
期刊论文 56
同项目期刊论文
Application of the largest Lyapunov exponent and non-linear fractal extrapolation algorithm to short
Interval forecasts of a novelty hybrid model for wind speeds
Forecasting daily solar radiation using an optimized hybrid model by cuckoo search algorithm
Spatial-temporal analysis and projection of extreme particulate matter (PM10 and PM2.5) levels using
Intelligent optimization models based on hard-ridge penalty and RBF for forecasting global solar rad
Combining forecasts of electricity consumption in China with time-varying weights updated by a high-
Application of residual modification approach in seasonal ARIMA for electricity demand forecasting:
A hybrid forecasting model based on outlier detection and fuzzy time series – A case study on Hainan
A hybrid model for PM2.5 forecasting based on ensemble empirical mode decomposition and a general re
A hybrid model based on data preprocessing for electrical power forecasting
An Experimental Investigation of FNN Model for Wind SpeedForecasting Using EEMD and CS
A novel hybrid model based on artificial neural networks for solar radiation prediction
A combined model based on data pre-analysis and weight coefficientsoptimization for electrical load
A hybrid technique for short-term wind speed prediction
Short term load forecasting technique based on the seasonal exponential adjustment method and the re
Short-term wind speed forecasting based on a hybrid model
Stock index forecasting based on a hybrid model
Intelligent optimized wind resource assessment and wind turbines selection in Huitengxile of Inner M
An improved multi-step forecasting model based on WRF ensembles and creative fuzzy systems for wind
An innovative integrated model using the singular spectrumanalysis and nonlinear multi-layer percept
Short-term wind speed prediction using empirical wavelet transformand Gaussian process regression
A robust combination approach for short-term wind speed forecastingand analysis e Combination of the
The Combination Forecasting of Electricity Price Based on Price Spikes Processing: A Case Study in S
Comprehensive assessment of wind resources and the low-carbon economy: An empirical study in the Alx
Distributed HS-ARTMAP and its forecasting model for electricity load
The forecasting research of early warning systems for atmospheric pollutants: A case in Yangtze Rive
A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Netwo
Estimation methods review and analysis of offshore extreme wind speeds and wind energy resources
The Study and Application of a Novel Hybrid Forecasting Model — A Case Study of Wind Speed Forecasti
Short-term wind speed forecasting using support vector regression optimized by cuckoo optimization a
Medium-term wind speeds forecasting utilizing hybrid models for three different sites in Xinjiang, C
Combined forecasting models for wind energy forecasting: A case study in China
A Hybrid Model Based on SmoothTransition Periodic Autoregressive and Elman Artificial Neural Networ
Wind energy potential assessment for the site of Inner Mongolia in China
Prediction of Ozone Concentration in Semi-AridAreas of China Using a Novel Hybrid Model
A hybrid forecasting approach applied to wind speed time series
Performance analysis of four modified approaches for wind speed forecasting
Techniques of applying wavelet de-noising into a combined model for short-term load forecasting
A study on the characteristics, predictions and policies of China’s eight main power grids
Power generation and renewable potential in China
Analysis and forecasting of the particulate matter (PM) concentration levels over four major cities
Short-term load forecasting using a kernel-based support vector regression combination model
A new hybrid model optimized by an intelligent optimization algorithm for wind speed forecasting
A self-adaptivehybrid approach for wind speed forecasting
Optimization models based on GM (1, 1) and seasonal fluctuation for electricity demand forecasting
Where is the future of China＇s biogas？ Review, forecast,and policy implications
基于物联网RFID技术的导引系统设计与研究
基于NARMA-L2控制器的电力系统稳定性分析