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。Forecast the electricity price of US using a wavelet transform-based hybrid model
Weibiao Qiao et al.
ENERGY (2020)
A novel hybrid forecasting scheme for electricity demand time series
Ranran Li et al.
SUSTAINABLE CITIES AND SOCIETY (2020)
Modified deep learning and reinforcement learning for an incentive-based demand response model
Lulu Wen et al.
ENERGY (2020)
Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach
Tomasz Jasinski
ENERGY (2020)
Electricity price forecasting in the short term hybridising fundamental and econometric modelling
Rodrigo A. de Marcos et al.
ELECTRIC POWER SYSTEMS RESEARCH (2019)
Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform
Zihan Chang et al.
ENERGY (2019)
Different states of multi-block based forecast engine for price and load prediction
Wei Gao et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2019)
Forecasting day-ahead electricity prices in Europe: The importance of considering market integration
Jesus Lago et al.
APPLIED ENERGY (2018)
Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
Jesus Lago et al.
APPLIED ENERGY (2018)
Effective long short-term memory with differential evolution algorithm for electricity price prediction
Lu Peng et al.
ENERGY (2018)
What Caused the Drop in European Electricity Prices? A Factor Decomposition Analysis
Lion Hirth
ENERGY JOURNAL (2018)
An integrated model for risk management in electricity trade
Athanasios S. Dagoumas et al.
ENERGY (2017)
Multi-step ahead electricity price forecasting using a hybrid model based on two-layer decomposition technique and BP neural network optimized by firefly algorithm
Deyun Wang et al.
APPLIED ENERGY (2017)
Electricity price forecasting by a hybrid model, combining wavelet transform, ARMA and kernel-based extreme learning machine methods
Zhang Yang et al.
APPLIED ENERGY (2017)
Day-ahead electricity price forecasting via the application of artificial neural network based models
Ioannis P. Panapakidis et al.
APPLIED ENERGY (2016)
Forecasting Electricity Spot Prices Using Lasso: On Capturing the Autoregressive Intraday Structure
Florian Ziel
IEEE TRANSACTIONS ON POWER SYSTEMS (2016)
Automatic time series forecasting: The forecast package for R
Rob J. Hyndman et al.
JOURNAL OF STATISTICAL SOFTWARE (2008)
A GARCH forecasting model to predict day-ahead electricity prices
RC Garcia et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2005)
Adaptive short-term electricity price forecasting using artificial neural networks in the restructured power markets
HY Yamin et al.
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS (2004)
ARIMA models to predict next-day electricity prices
J Contreras et al.
IEEE TRANSACTIONS ON POWER SYSTEMS (2003)
分享论文
