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Electricity price forecasting

Electricity price forecasting (EPF) is a branch of energy forecasting which focuses on predicting the spot and forward prices in wholesale… 
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Related topics

Related topics

19 relations
Agent-based modelArtificial intelligenceArtificial neural networkAutoregressive fractionally integrated moving average

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2019
Highly Cited
2019
An Optimized Heterogeneous Structure LSTM Network for Electricity Price Forecasting
Electricity price is an important indicator of the market operation. Accurate prediction of electricity price will facilitate the… 
Highly Cited
2019
Highly Cited
2019
A Note on Averaging Day-Ahead Electricity Price Forecasts Across Calibration Windows
We propose a novel concept in energy forecasting and show that averaging day-ahead electricity price forecasts of a predictive… 
Highly Cited
2018
Highly Cited
2018
Forecasting Functional Time Series with a New Hilbertian ARMAX Model: Application to Electricity Price Forecasting
A functional time series is the realization of a stochastic process where each observation is a continuous function defined on a… 
Highly Cited
2018
Highly Cited
2018
Electricity Price Forecasting for Operational Scheduling of Behind-the-Meter Storage Systems
Electricity price forecast plays a key role in strategic behavior of participants in competitive electricity markets. With the… 
Highly Cited
2017
Highly Cited
2017
Probabilistic Forecasting of Hourly Electricity Price by Generalization of ELM for Usage in Improved Wavelet Neural Network
In restructured markets where transactions process is competitive, forecasting of electricity price is inevitably an important… 
Highly Cited
2014
Highly Cited
2014
A Hybrid Approach for Probabilistic Forecasting of Electricity Price
The electricity market plays a key role in realizing the economic prophecy of smart grids. Accurate and reliable electricity… 
Highly Cited
2008
Highly Cited
2008
An Adaptive Wavelet Neural Network-Based Energy Price Forecasting in Electricity Markets
In a competitive electricity market, an accurate forecasting of energy prices is an important activity for all the market… 
Highly Cited
2007
Highly Cited
2007
A Novel Approach to Forecast Electricity Price for PJM Using Neural Network and Similar Days Method
Price forecasting in competitive electricity markets is critical for consumers and producers in planning their operations and… 
Highly Cited
2006
Highly Cited
2006
Electricity price forecasting through transfer function models
Forecasting electricity prices in presentday competitive electricity markets is a must for both producers and consumers because… 
2006
2006
Electricity Price Forecasting Using Artificial Neural Network
In the restructured power markets, price of electricity has been the key of all activities in the power market. Accurately and… 
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