The role of data frequency and method selection in electricity price estimation: Comparative evidence from Turkey in pre-pandemic and pandemic periods
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
The role of data frequency and method selection in electricity price estimation: Comparative evidence from Turkey in pre-pandemic and pandemic periods
Authors
Keywords
Electricity prices, Data frequency, Machine learning algorithms, Time series econometric models, Turkey
Journal
RENEWABLE ENERGY
Volume 186, Issue -, Pages 217-225
Publisher
Elsevier BV
Online
2022-01-05
DOI
10.1016/j.renene.2021.12.136
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- How did the German and other European electricity systems react to the COVID-19 pandemic?
- (2021) Stephanie Halbrügge et al. APPLIED ENERGY
- Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark
- (2021) Jesus Lago et al. APPLIED ENERGY
- A hierarchical framework for renewable energy sources consumption promotion among microgrids through two-layer electricity prices
- (2021) Y.J. Wu et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Renewable electricity generation in the Australian water industry: Lessons learned and challenges for the future
- (2021) A. Strazzabosco et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Changes of gold prices in COVID-19 pandemic: Daily evidence from Turkey's monetary policy measures with selected determinants
- (2021) Özer Depren et al. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
- An effective Two-Stage Electricity Price forecasting scheme
- (2021) Wei Shi et al. ELECTRIC POWER SYSTEMS RESEARCH
- A feature extraction- and ranking-based framework for electricity spot price forecasting using a hybrid deep neural network
- (2021) Zhen Shao et al. ELECTRIC POWER SYSTEMS RESEARCH
- Day-ahead electricity price prediction applying hybrid models of LSTM-based deep learning methods and feature selection algorithms under consideration of market coupling
- (2021) Wei Li et al. ENERGY
- Impact on Electricity Consumption and Market Pricing of Energy and Ancillary Services during Pandemic of COVID-19 in Italy
- (2020) Emilio Ghiani et al. Energies
- Use of new variables based on air temperature for forecasting day-ahead spot electricity prices using deep neural networks: A new approach
- (2020) Tomasz Jasiński ENERGY
- Examining the determinants of electricity demand by South African households per income level
- (2020) J.A. Bohlmann et al. ENERGY POLICY
- The impact of renewables on electricity prices in Germany - An update for the years 2014–2018
- (2020) Sebastian Kolb et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- A two-stage supervised learning approach for electricity price forecasting by leveraging different data sources
- (2019) Shuman Luo et al. APPLIED ENERGY
- Bayesian deep learning based method for probabilistic forecast of day-ahead electricity prices
- (2019) Alessandro Brusaferri et al. APPLIED ENERGY
- BRIM: An Accurate Electricity Spot Price Prediction Scheme-Based Bidirectional Recurrent Neural Network and Integrated Market
- (2019) Yiyuan Chen et al. Energies
- Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
- (2018) Jesus Lago et al. APPLIED ENERGY
- Electricity Price Forecasting Using Recurrent Neural Networks
- (2018) Umut Ugurlu et al. Energies
- The marginal system LCOE of variable renewables – Evaluating high penetration levels of wind and solar in Europe
- (2018) Lina Reichenberg et al. ENERGY
- Estimating the determinants of electricity consumption in Jordan
- (2018) Saif Kayed Al-Bajjali et al. ENERGY
- Variance Stabilizing Transformations for Electricity Spot Price Forecasting
- (2018) Bartosz Uniejewski et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- The benefits of cooperation in a highly renewable European electricity network
- (2017) D.P. Schlachtberger et al. ENERGY
- Integrated modelling of variable renewable energy-based power supply in Europe
- (2017) Hans Christian Gils et al. ENERGY
- An analysis of the decline of electricity spot prices in Europe: Who is to blame?
- (2017) Andreas Bublitz et al. ENERGY POLICY
- Short-Term Electricity Price Forecasting With Stacked Denoising Autoencoders
- (2017) Long Wang et al. IEEE TRANSACTIONS ON POWER SYSTEMS
- Assessing the determinants of household electricity prices in the EU: a system-GMM panel data approach
- (2017) Patrícia Pereira da Silva et al. RENEWABLE & SUSTAINABLE ENERGY REVIEWS
- Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks
- (2016) Dogan Keles et al. APPLIED ENERGY
- Effects of electricity-price policy on electricity demand and manufacturing output
- (2016) Sanguk Kwon et al. ENERGY
- The impact of renewable energies on EEX day-ahead electricity prices
- (2014) Florentina Paraschiv et al. ENERGY POLICY
- The impact of renewable energy on electricity prices in the Netherlands
- (2013) Machiel Mulder et al. RENEWABLE ENERGY
- The effect of wind generation and weekday on Spanish electricity spot price forecasting
- (2011) Alberto Cruz et al. ELECTRIC POWER SYSTEMS RESEARCH
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now