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。Air quality deterministic and probabilistic forecasting system based on hesitant fuzzy sets and nonlinear robust outlier correction
Hongmin Li et al.
KNOWLEDGE-BASED SYSTEMS (2022)
Carbon price forecasting system based on error correction and divide-conquer strategies
Xinsong Niu et al.
APPLIED SOFT COMPUTING (2022)
An oil imports dependence forecasting system based on fuzzy time series and multi-objective optimization algorithm: Case for China
Hufang Yang et al.
KNOWLEDGE-BASED SYSTEMS (2022)
An integrated forecasting system based on knee-based multi-objective optimization for solar radiation interval forecasting
Jianzhou Wang et al.
EXPERT SYSTEMS WITH APPLICATIONS (2022)
A novel hybrid load forecasting framework with intelligent feature engineering and optimization algorithm in smart grid
Ghulam Hafeez et al.
APPLIED ENERGY (2021)
A hybrid prediction model based on pattern sequence-based matching method and extreme gradient boosting for holiday load forecasting
Kedong Zhu et al.
ELECTRIC POWER SYSTEMS RESEARCH (2021)
Hybrid ensemble intelligent model based on wavelet transform, swarm intelligence and artificial neural network for electricity demand forecasting
Eric Ofori-Ntow Jnr et al.
SUSTAINABLE CITIES AND SOCIETY (2021)
Decomposition-selection-ensemble forecasting system for energy futures price forecasting based on multi-objective version of chaos game optimization algorithm
Ping Jiang et al.
RESOURCES POLICY (2021)
A new interval prediction methodology for short-term electric load forecasting based on pattern recognition
Xavier Serrano-Guerrero et al.
APPLIED ENERGY (2021)
Modeling of electricity demand forecast for power system
Ping Jiang et al.
NEURAL COMPUTING & APPLICATIONS (2020)
An ensemble method of full wavelet packet transform and neural network for short term electrical load forecasting
Mohamed El-Hendawi et al.
ELECTRIC POWER SYSTEMS RESEARCH (2020)
Load forecasting based on grasshopper optimization and a multilayer feed-forward neural network using regressive approach
M. Talaat et al.
ENERGY (2020)
An integrated method based on relevance vector machine for short-term load forecasting
Jia Ding et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
A new combined model based on multi-objective salp swarm optimization for wind speed forecasting
Zishu Cheng et al.
APPLIED SOFT COMPUTING (2020)
Fractional ARIMA with an improved cuckoo search optimization for the efficient Short-term power load forecasting
Fei Wu et al.
ALEXANDRIA ENGINEERING JOURNAL (2020)
Short-term metropolitan-scale electric load forecasting based on load decomposition and ensemble algorithms
Yiyi Chu et al.
ENERGY AND BUILDINGS (2020)
A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting
Ying Nie et al.
APPLIED SOFT COMPUTING (2020)
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Azim Heydari et al.
APPLIED ENERGY (2020)
Enhanced ensemble structures using wavelet neural networks applied to short-term load forecasting
Gabriel Trierweiler Ribeiro et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2019)
A novel combined model based on hybrid optimization algorithm for electrical load forecasting
Rui Wang et al.
APPLIED SOFT COMPUTING (2019)
A novel hybrid model based on neural network and multi-objective optimization for effective load forecast
Priyanka Singh et al.
ENERGY (2019)
Effective passenger flow forecasting using STL and ESN based on two improvement strategies
Lan Qin et al.
NEUROCOMPUTING (2019)
Structural combination of seasonal exponential smoothing forecasts applied to load forecasting
Juan F. Rendon-Sanchez et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2019)
Signal processing and identification on the surface of Pinus massoniana Lamb. glulam using acoustic emission and improvement complete ensemble empirical mode decomposition with adaptive noise
Yang Li et al.
MEASUREMENT (2019)
A novel wind speed forecasting system based on hybrid data preprocessing and multi-objective optimization
Chengshi Tian et al.
APPLIED ENERGY (2018)
Grasshopper optimization algorithm for multi-objective optimization problems
Seyedeh Zahra Mirjalili et al.
APPLIED INTELLIGENCE (2018)
Hybrid filter-wrapper feature selection for short-term load forecasting
Zhongyi Hu et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2015)
A novel random fuzzy neural networks for tackling uncertainties of electric load forecasting
Chin Wang Lou et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)
Short term load forecast using fuzzy logic and wavelet transform integrated generalized neural network
D. K. Chaturvedi et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2015)
A survey of multiple classifier systems as hybrid systems
Michal Wozniak et al.
INFORMATION FUSION (2014)
Short-Term Forecasting of Anomalous Load Using Rule-Based Triple Seasonal Methods
Siddharth Arora et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2013)
Electricity demand load forecasting of the Hellenic power system using an ARMA model
S. Sp. Pappas et al.
ELECTRIC POWER SYSTEMS RESEARCH (2010)
Multi-objective evolutionary optimization of polynomial neural networks for modelling and prediction of explosive cutting process
A. Jamali et al.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE (2009)
A new model selection strategy in artificial neural networks
Erol Egrioglu et al.
APPLIED MATHEMATICS AND COMPUTATION (2008)
Three learning phases for radial-basis-function networks
F Schwenker et al.
NEURAL NETWORKS (2001)