Energy and Power Engineering

Energy and Power Engineering

ISSN Print: 1949-243X
ISSN Online: 1947-3818
www.scirp.org/journal/epe
E-mail: epe@scirp.org
"Comparison of ARIMA and ANN Models Used in Electricity Price Forecasting for Power Market"
written by Gao Gao, Kwoklun Lo, Fulin Fan,
published by Energy and Power Engineering, Vol.9 No.4B, 2017
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] A Hawkes Model Approach to Modeling Price Spikes in the Japanese Electricity Market
Energies, 2023
[2] Applications of Artificial Intelligence in Short-Term and Long-Term Forecasting Techniques
Applications of Artificial Intelligence in Planning and …, 2022
[3] Algorithmic Approaches to Energy Market Price Prediction
2022
[4] Hourly electricity price forecasting with NARMAX
Machine Learning with Applications, 2022
[5] Electricity Price Instability over Time: Time Series Analysis and Forecasting
Sustainability, 2022
[6] The Economic Viability of PV Power Plant Based on a Neural Network Model of Electricity Prices Forecast: A Case of a Developing Market
Energies, 2022
[7] Technical indicators for energy market trading
Machine Learning with Applications, 2021
[8] A Time Series Forecasting of Electricity Demand by ARIMA and ReLU Based ANN
2021
[9] Data-driven real-time price-based demand response for industrial facilities energy management
2021
[10] Time series modeling using Box-Jenkins model for shariah compliant healthcare sector in Malaysia
2021
[11] Stock Market Price Forecasting using ARIMA vs ANN; A Case study from CSE
2020
[12] Technical Indicators for Hourly Energy Market Trading
2020
[13] Forecasting Electricity Consumption Using Deep Learning Methods with Hyperparameter Tuning
2020
[14] Türkiye'de Gün Öncesi Piyasası İçin Elektrik Fiyatlarının Tahmini
2020
[15] Yapay Sinir Ağı ve Box-Jenkins Modeli ile Yazıcı Sarf Malzemelerinin Analizi ve Modellenmesi: Irak Örneği
2020
[16] A hybrid optimized error correction system for time series forecasting
2020
[17] Development of Neurofuzzy Architectures for Electricity Price Forecasting
2020
[18] Forecasting Day-ahead Electricity Prices with A SARIMAX Model
2019
[19] Türkiye elektrik piyasasında risk duyarlı enerji depolama politikaları kullanarak fiyat arbitraj potansiyelinin araştırılması
2019
[20] Time Decomposition and Short-Term Forecasting of Hydrometeorological Conditions in the South Baltic Coastal Zone of Poland
2019
[21] Aggregating domestic energy storage resources to participate in frequency containment reserves
2019
[22] A hybrid electricity price forecasting model with Bayesian optimization for German energy exchange
2019
[23] Risk assessment due to load demand and electricity price forecast uncertainty
2019
[24] Exploiting Artificial Neural Networks for the Prediction of Ancillary Energy Market Prices
Energies, 2018
[25] Daily Energy Price Forecasting Using a Polynomial NARMAX Model
Advances in Computational Intelligence Systems, 2018
[26] A novel hybrid BND-FOA-LSSVM model for electricity price forecasting
Information, 2017
Free SCIRP Newsletters
Copyright © 2006-2024 Scientific Research Publishing Inc. All Rights Reserved.
Top