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。Electric load forecasting by using dynamic neural network
Mourad Mordjaoui et al.
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY (2017)
Red tide time series forecasting by combining ARIMA and deep belief network
Mengjiao Qin et al.
KNOWLEDGE-BASED SYSTEMS (2017)
Research on Data Stream Clustering Based on FCM Algorithm
Tiancheng Gao et al.
5TH INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND QUANTITATIVE MANAGEMENT, ITQM 2017 (2017)
Deep belief network based electricity load forecasting: An analysis of Macedonian case
Aleksandra Dedinec et al.
ENERGY (2016)
Multi-pose face ensemble classification aided by Gabor features and deep belief nets
Yong Chen et al.
OPTIK (2016)
Data on Support Vector Machines (SVM) model to forecast photovoltaic power
M. Malvoni et al.
DATA IN BRIEF (2016)
Short-term wind power prediction based on extreme learning machine with error correction
Zhi Li et al.
PROTECTION AND CONTROL OF MODERN POWER SYSTEMS (2016)
Household Electricity Demand Forecast Based on Context Information and User Daily Schedule Analysis From Meter Data
Yu-Hsiang Hsiao
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2015)
Forecasting electricity consumption: A comparison of regression analysis, neural networks and least squares support vector machines
Fazil Kaytez et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)
Forecasting exchange rate using deep belief networks and conjugate gradient method
Furao Shen et al.
NEUROCOMPUTING (2015)
Short-term forecasting of the Abu Dhabi electricity load using multiple weather variables
Luiz Friedrich et al.
CLEAN, EFFICIENT AND AFFORDABLE ENERGY FOR A SUSTAINABLE FUTURE (2015)
Long-term electrical energy consumption forecasting for developing and developed economies based on different optimized models and historical data types
F. J. Ardakani et al.
ENERGY (2014)
Time series forecasting using a deep belief network with restricted Boltzmann machines
Takashi Kuremoto et al.
NEUROCOMPUTING (2014)
Forecasting Power Output of Photovoltaic Systems Based on Weather Classification and Support Vector Machines
Jie Shi et al.
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS (2012)
Reducing the dimensionality of data with neural networks
G. E. Hinton et al.
SCIENCE (2006)
A fast learning algorithm for deep belief nets
Geoffrey E. Hinton et al.
NEURAL COMPUTATION (2006)