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
"Short-Term Electricity Price Forecasting Using a Combination of Neural Networks and Fuzzy Inference"
written by Evans Nyasha Chogumaira, Takashi Hiyama,
published by Energy and Power Engineering, Vol.3 No.1, 2011
has been cited by the following article(s):
  • Google Scholar
  • CrossRef
[1] Machine and deep learning approaches for forecasting electricity price and energy load assessment on real datasets
Azab, RA Swief, NH El-Amary… - Ain Shams Engineering …, 2024
[2] Short-term electric energy load forecasting of Ankara Region using artificial intelligence methods
Politeknik Dergisi, 2023
[3] Electricity Price Forecasting in Markets Considering Renewable and EV penetration using Machine Learning and DNN
2023 5th International …, 2023
[4] Long term electricity load forecasting based on regional load model using optimization techniques: A case study
Energy Sources, Part A: Recovery, Utilization, and …, 2022
[5] Short-Term Electricity Price Forecasting in Deregulated Electricity Market Based on Enhanced Artificial Intelligence Techniques
2020
[6] Hybrid Models Using Artificial Neural Networks and Fuzzy Logic and Applications
2019
[7] Carbon price forecasting models based on big data analytics
2019
[8] Elektrik Yükü Tahmin Yöntemlerinin Analizi
Gazi Mühendislik Bilimleri Dergisi, 2018
[9] Price Forecasting Technique and Methods in Deregulated Electricity Market: an Inclusive Review
2018
[10] Towards Optimal Operation, Planning and Control of Data Center Microgirds
2018
[11] Application of fuzzy–Neuro to model weather parameter variability impacts on electrical load based on long-term forecasting
Alexandria Engineering Journal, 2017
[12] Kısa dönem elektrik talep tahminleri için yapay sinir ağları ve uzman sistemler tabanlı hibrit sistem geliştirilmesi
2017
[13] Kısa dönem elektrik talep tahminleri için yapay sinir ağları ve uzman sistemler tabanlı hibrit sistem geliştirilmesi.
Gazi üniversitesi Mühendislik-Mimarl?k Fakültesi Dergisi, 2017
[14] Kısa Dönem Elektrik Talep Tahminleri İçin Yapay Sinir Ağları ve Uzman Sistemler Tabanlı Hibrid Tahmin Sistemi Geliştirilmesi
Journal of the Faculty of Engineering and Architecture of Gazi University, 2017
[15] A Procedure for the Analysis of Multivariate Factors Affecting Electricity Consumption
International Journal of Applied Information Systems, 2017
[16] Short-term forecasting of prices for the Russian wholesale electricity market based on neural networks
Studies on Russian Economic Development, 2017
[17] Day-ahead forecasting of wholesale electricity pricing using extreme learning machine
2017
[18] КРАТКОСРОЧНОЕ ПРОГНОЗИРОВАНИЕ ЦЕН НА РОССИЙСКОМ ОПТОВОМ РЫНКЕ ЭЛЕКТР ОЭНЕРГИИ НА ОСНОВЕ НЕЙРОННЫХ СЕТЕЙ
2017
[19] A FEW INVESTIGATIONS ON ELECTRICITY PRICE FORECASTING
2016
[20] Day-ahead electricity price forecasting via the application of artificial neural network based models
Applied Energy, 2016
[21] Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia
Economics and Business, 2016
[22] Different price forecasting techniques and their application in deregulated electricity market: A comprehensive study
2016
[23] Towards optimal coordinated operation of distributed internet data center microgrids
2016
[24] A Predictive Framework for Electricity Consumption
2016
[25] Forecasting electricity prices in the Czech spot market
2016
[26] Modelling Electricity Price Expectations in a Day-Ahead Market: A Case of Latvia.
2016
[27] FEATURE SELECTION AND PARAMETER OPTIMIZATION WITH
2015
[28] Innovations-based Neural Network Seasonal Day-ahead Marginal Price Forecasting
Electric Power Components and Systems, 2015
[29] Support vector machine for day ahead electricity price forecasting
INTERNATIONAL CONFERENCE ON MATHEMATICS, ENGINEERING AND INDUSTRIAL APPLICATIONS 2014 (ICoMEIA 2014), 2015
[30] Predicting electricity consumption: A comparative analysis of the accuracy of various computational techniques
IT in Asia (CITA), 2015 9th International Conference on, 2015
[31] Dane wejściowe sztucznych sieci neuronowych prognozujących krótkoterminowe zapotrzebowanie na energię
Logistyka, 2014
[32] Feature selection and parameter optimization with GA-LSSVM in electricity price forecasting
Journal of Electrical Engineering, 2014
[33] Análisis y Modelado de Factores Tecno-económicas en Sistemas Geotérmicos Greenhouse Calefacción
AFINIDAD, 2014
[34] On Electricity Spot Price Properties by t-innovation GARCH Model
TELKOMNIKA Indonesian Journal of Electrical Engineering, 2013
[35] EFuNN Based Forecasting of Electricity Price in Deregulated Market Scenario
2013
[36] Türkiye elektrik piyasası kısa dönemli referans fiyat tahmini
Free SCIRP Newsletters
Copyright © 2006-2025 Scientific Research Publishing Inc. All Rights Reserved.
Top