Electricity price estimation using deep learning approaches: An empirical study on Turkish markets in normal and Covid-19 periods
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference59 articles.
1. Electricity Price Forecast Using Combinatorial Neural Network Trained by a New Stochastic Search Method;Abedinia;Energy Conversion and Management,2015
2. Day-Ahead Price Forecasting of Electricity Markets by a New Fuzzy Neural Network;Amjady;IEEE Transactions on Power Systems,2006
3. Azevedo, Filipe, & Vale, Zita A. (2006). Forecasting Electricity Prices with Historical Statistical Information Using Neural Networks and Clustering Techniques. 2006 IEEE PES Power Systems Conference and Exposition.
4. A dual-stage advanced deep learning algorithm for long-term and long-sequence prediction for multivariate financial time series;Bala;Applied Soft Computing,2022
5. A Bat Optimized Neural Network and Wavelet Transform Approach for Short-Term Price Forecasting;Bento;Applied Energy,2018
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