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。An adaptive hybrid model for short term electricity price forecasting
Jinliang Zhang et al.
APPLIED ENERGY (2020)
Semi-Supervised Bidirectional Long Short-Term Memory and Conditional Random Fields Model for Named-Entity Recognition Using Embeddings from Language Models Representations
Min Zhang et al.
ENTROPY (2020)
Towards a Smart Smoking Cessation App: A 1D-CNN Model Predicting Smoking Events
Maryam Abo-Tabik et al.
SENSORS (2020)
A Rainfall-Runoff Model With LSTM-Based Sequence-to-Sequence Learning
Zhongrun Xiang et al.
WATER RESOURCES RESEARCH (2020)
An Optimized Faster R-CNN Method Based on DRNet and RoI Align for Building Detection in Remote Sensing Images
Tong Bai et al.
REMOTE SENSING (2020)
A day-ahead PV power forecasting method based on LSTM-RNN model and time correlation modification under partial daily pattern prediction framework
Fei Wang et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Public Environment Emotion Prediction Model Using LSTM Network
Qiang Zhang et al.
SUSTAINABILITY (2020)
An Optimal Feature Parameter Set Based on Gated Recurrent Unit Recurrent Neural Networks for Speech Segment Detection
Ozlem Batur Dinler et al.
APPLIED SCIENCES-BASEL (2020)
Online state of health prediction method for lithium-ion batteries, based on gated recurrent unit neural networks
Lucian Ungurean et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2020)
An enhanced convolutional neural network for bearing fault diagnosis based on time-frequency image
Ying Zhang et al.
MEASUREMENT (2020)
A Gated Recurrent Unit Approach to Bitcoin Price Prediction
Aniruddha Dutta et al.
JOURNAL OF RISK AND FINANCIAL MANAGEMENT (2020)
Robust optimization based optimal chiller loading under cooling demand uncertainty
Mohammadhossein Saeedi et al.
APPLIED THERMAL ENGINEERING (2019)
Forecasting day-ahead electricity prices using a new integrated model
Jin-Liang Zhang et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Distributed Routing and Charging Scheduling Optimization for Internet of Electric Vehicles
Xiaoying Tang et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
Electricity Price and Load Forecasting using Enhanced Convolutional Neural Network and Enhanced Support Vector Regression in Smart Grids
Maheen Zahid et al.
ELECTRONICS (2019)
Optimal offering and bidding strategies of renewable energy based large consumer using a novel hybrid robust-stochastic approach
Oveis Abedinia et al.
JOURNAL OF CLEANER PRODUCTION (2019)
Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform
Zihan Chang et al.
ENERGY (2019)
Ensemble of relevance vector machines and boosted trees for electricity price forecasting
Rahul Kumar Agrawal et al.
APPLIED ENERGY (2019)
When Edge Computing Meets Microgrid: A Deep Reinforcement Learning Approach
Md. Shirajum Munir et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
An IoT-Based Data Driven Precooling Solution for Electricity Cost Savings in Commercial Buildings
Arun Vishwanath et al.
IEEE INTERNET OF THINGS JOURNAL (2019)
DeepEfflux: a 2D convolutional neural network model for identifying families of efflux proteins in transporters
Semmy Wellem Taju et al.
BIOINFORMATICS (2018)
Electricity Price Forecasting Using Recurrent Neural Networks
Umut Ugurlu et al.
ENERGIES (2018)
An adaptive middle and long-term runoff forecast model using EEMD-ANN hybrid approach
Qiao-Feng Tan et al.
JOURNAL OF HYDROLOGY (2018)
1-D CNNs for structural damage detection: Verification on a structural health monitoring benchmark data
Osama Abdeljaber et al.
NEUROCOMPUTING (2018)
Probabilistic mid- and long-term electricity price forecasting
Florian Ziel et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2018)
An Electricity Price Forecasting Model by Hybrid Structured Deep Neural Networks
Ping-Huan Kuo et al.
SUSTAINABILITY (2018)
SAFE: Secure Appliance Scheduling for Flexible and Efficient Energy Consumption for Smart Home IoT
Sai Mounika Errapotu et al.
IEEE INTERNET OF THINGS JOURNAL (2018)
Comparing Variational and Empirical Mode Decomposition in Forecasting Day-Ahead Energy Prices
Salim Lahmiri
IEEE SYSTEMS JOURNAL (2017)
Probabilistic Forecasting of Hourly Electricity Price by Generalization of ELM for Usage in Improved Wavelet Neural Network
Mehdi Rafiei et al.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS (2017)
A new feature selection and hybrid forecast engine for day-ahead price forecasting of electricity markets
Abbas Rahimi Gollou et al.
JOURNAL OF INTELLIGENT & FUZZY SYSTEMS (2017)
Multi-step ahead wind speed forecasting using an improved wavelet neural network combining variational mode decomposition and phase space reconstruction
Deyun Wang et al.
RENEWABLE ENERGY (2017)
Short-term Electricity Price Forecasting with Empirical Mode Decomposition based Ensemble Kernel Machines
Xueheng Qiu et al.
INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE (ICCS 2017) (2017)
ImageNet Classification with Deep Convolutional Neural Networks
Alex Krizhevsky et al.
COMMUNICATIONS OF THE ACM (2017)
Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks
Dogan Keles et al.
APPLIED ENERGY (2016)
Variational Mode Decomposition
Konstantin Dragomiretskiy et al.
IEEE TRANSACTIONS ON SIGNAL PROCESSING (2014)
Mid-term electricity market clearing price forecasting using multiple least squares support vector machines
Xing Yan et al.
IET GENERATION TRANSMISSION & DISTRIBUTION (2014)
Interval forecasting of electricity demand: A novel bivariate EMD-based support vector regression modeling framework
Tao Xiong et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2014)
Forecasting electricity price and demand using a hybrid approach based on wavelet transform, ARIMA and neural networks
Sergey Voronin et al.
INTERNATIONAL JOURNAL OF ENERGY RESEARCH (2014)
Multi-step forecasting for wind speed using a modified EMD-based artificial neural network model
Zhenhai Guo et al.
RENEWABLE ENERGY (2012)
COMPLEMENTARY ENSEMBLE EMPIRICAL MODE DECOMPOSITION: A NOVEL NOISE ENHANCED DATA ANALYSIS METHOD
Jia-Rong Yeh et al.
ADVANCES IN DATA SCIENCE AND ADAPTIVE ANALYSIS (2010)
Price forecast in the competitive electricity market by support vector machine
Ciwei Gao et al.
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS (2007)
Electricity price forecasting with confidence-interval estimation through an extended ARIMA approach
M Zhou et al.
IEE PROCEEDINGS-GENERATION TRANSMISSION AND DISTRIBUTION (2006)
ARIMA models to predict next-day electricity prices
J Contreras et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2003)
分享论文
