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Bayesian neural network model to predict day‐ahead electricity prices
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Bayesian neural networks for nonlinear time series forecasting
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A neuro-fuzzy price forecasting approach in deregulated electricity markets
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Day-ahead price forecasting in restructured power systems using artificial neural networks
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Forecasting electricity prices for a day-ahead pool-based electric energy market
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Locational marginal price forecasting in deregulated electricity markets using artificial intelligence
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Electricity price forecasting with confidence-interval estimation through an extended ARIMA approach
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Neural Networks for Pattern Recognition
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Electricity price short-term forecasting using artificial neural networks
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Bayesian approach to neural-network modeling with input uncertainty
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ARIMA Models to Predict Next-Day Electricity Prices
inferredcites →https://doi.org/10.1109/pess.2000.866982openalex-snapshot
Strategic bidding in competitive electricity markets: a literature survey
inferredcites →https://doi.org/10.1109/tpwrs.2002.1007902openalex-snapshot
Forecasting next-day electricity prices by time series models
inferredcites →https://doi.org/10.1109/tpwrs.2002.804943openalex-snapshot
ARIMA models to predict next-day electricity prices
inferredcites →https://doi.org/10.1109/tpwrs.2002.807062openalex-snapshot
Energy clearing price prediction and confidence interval estimation with cascaded neural networks
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Improving Market Clearing Price Prediction by Using a Committee Machine of Neural Networks
inferredcites →https://doi.org/10.1109/tpwrs.2004.840412openalex-snapshot
Modeling and Forecasting Electricity Prices with Input/Output Hidden Markov Models
inferredcites →https://doi.org/10.1109/tpwrs.2005.846044openalex-snapshot
A GARCH Forecasting Model to Predict Day-Ahead Electricity Prices
inferredcites →https://doi.org/10.1109/tpwrs.2005.846054openalex-snapshot
Day-Ahead Electricity Price Forecasting Using the Wavelet Transform and ARIMA Models
inferredcites →https://doi.org/10.1109/tpwrs.2005.860926openalex-snapshot
An Optimized Adaptive Neural Network for Annual Midterm Energy Forecasting
inferredcites →https://doi.org/10.1109/tpwrs.2006.873104openalex-snapshot
Payment Cost Minimization Auction for Deregulated Electricity Markets Using Surrogate Optimization
inferredcites →https://doi.org/10.1109/tpwrs.2006.873409openalex-snapshot
Day-Ahead Price Forecasting of Electricity Markets by a New Fuzzy Neural Network
inferredcites →https://doi.org/10.1109/tpwrs.2006.883666openalex-snapshot
Monthly Electric Energy Demand Forecasting Based on Trend Extraction
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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