[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 …
Short-term electricity load and price forecasting by a new optimal LSTM-NN based prediction algorithm
G Memarzadeh, F Keynia - Electric Power Systems Research, 2021 - Elsevier
Nowadays, a basic commodity for a human being to lead a standard lifestyle with human
comfort irrespective of the nature of environmental conditions is electric power. The …
comfort irrespective of the nature of environmental conditions is electric power. The …
A new feature selection technique for load and price forecast of electrical power systems
O Abedinia, N Amjady… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Load and price forecasts are necessary for optimal operation planning in competitive
electricity markets. However, most of the load and price forecast methods suffer from lack of …
electricity markets. However, most of the load and price forecast methods suffer from lack of …
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
We conduct an extensive empirical study on short-term electricity price forecasting (EPF) to
address the long-standing question if the optimal model structure for EPF is univariate or …
address the long-standing question if the optimal model structure for EPF is univariate or …
Uncertainty-aware household appliance scheduling considering dynamic electricity pricing in smart home
High quality demand side management has become indispensable in the smart grid
infrastructure for enhanced energy reduction and system control. In this paper, a new …
infrastructure for enhanced energy reduction and system control. In this paper, a new …
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 …
Electricity price forecasting using artificial neural networks
D Singhal, KS Swarup - International Journal of Electrical Power & Energy …, 2011 - Elsevier
Electricity price forecasting in deregulated open power markets using neural networks is
presented. Forecasting electricity price is a challenging task for on-line trading and e …
presented. Forecasting electricity price is a challenging task for on-line trading and e …
A survey on data mining techniques applied to electricity-related time series forecasting
Data mining has become an essential tool during the last decade to analyze large sets of
data. The variety of techniques it includes and the successful results obtained in many …
data. The variety of techniques it includes and the successful results obtained in many …
Energy time series forecasting based on pattern sequence similarity
This paper presents a new approach to forecast the behavior of time series based on
similarity of pattern sequences. First, clustering techniques are used with the aim of grouping …
similarity of pattern sequences. First, clustering techniques are used with the aim of grouping …
A bat optimized neural network and wavelet transform approach for short-term price forecasting
PMR Bento, JAN Pombo, MRA Calado, S Mariano - Applied energy, 2018 - Elsevier
In the competitive power industry environment, electricity price forecasting is a fundamental
task when market participants decide upon bidding strategies. This has led researchers in …
task when market participants decide upon bidding strategies. This has led researchers in …