Recent advances in electricity price forecasting: A review of probabilistic forecasting
Since the inception of competitive power markets two decades ago, electricity price
forecasting (EPF) has gradually become a fundamental process for energy companies' …
forecasting (EPF) has gradually become a fundamental process for energy companies' …
[HTML][HTML] Electricity price forecasting: A review of the state-of-the-art with a look into the future
R Weron - International journal of forecasting, 2014 - Elsevier
A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the
last 15 years, with varying degrees of success. This review article aims to explain the …
last 15 years, with varying degrees of success. This review article aims to explain the …
[HTML][HTML] Forecasting spot electricity prices: Deep learning approaches and empirical comparison of traditional algorithms
In this paper, a novel modeling framework for forecasting electricity prices is proposed.
While many predictive models have been already proposed to perform this task, the area of …
While many predictive models have been already proposed to perform this task, the area of …
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Current electricity price forecasting models rely on only simple hybridizations of data
preprocessing and optimization methods while ignoring the significance of adaptive data …
preprocessing and optimization methods while ignoring the significance of adaptive data …
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm
Electricity price forecasting is a key aspect for market participants to maximize their
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
economic efficiency in deregulated markets. Nevertheless, due to its non-linearity and non …
Aggregating prophet and seasonal trend decomposition for time series forecasting of Italian electricity spot prices
The cost of electricity and gas has a direct influence on the everyday routines of people who
rely on these resources to keep their businesses running. However, the value of electricity is …
rely on these resources to keep their businesses running. However, the value of electricity is …
[HTML][HTML] Forecasting day-ahead electricity prices in Europe: The importance of considering market integration
Motivated by the increasing integration among electricity markets, in this paper we propose
two different methods to incorporate market integration in electricity price forecasting and to …
two different methods to incorporate market integration in electricity price forecasting and to …
[KİTAP][B] Modeling and forecasting electricity loads and prices: A statistical approach
R Weron - 2006 - books.google.com
This book offers an in-depth and up-to-date review of different statistical tools that can be
used to analyze and forecast the dynamics of two crucial for every energy company …
used to analyze and forecast the dynamics of two crucial for every energy company …
Electricity price forecasting in deregulated markets: A review and evaluation
The main methodologies used in electricity price forecasting have been reviewed in this
paper. The following price-forecasting techniques have been covered:(i) stochastic time …
paper. The following price-forecasting techniques have been covered:(i) stochastic time …
A hybrid short-term electricity price forecasting framework: Cuckoo search-based feature selection with singular spectrum analysis and SVM
X Zhang, J Wang, Y Gao - Energy Economics, 2019 - Elsevier
Under the liberalization and deregulation of the power industry, price forecasting has
become a cornerstone for market participants' decision-making such as bidding strategies …
become a cornerstone for market participants' decision-making such as bidding strategies …