Forecasting Models of Electricity Prices

Forecasting Models of Electricity Prices

Paperback | June 2, 2017

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The new competitive electricity markets make it imperative for companies related to electricity production and retail to have tools in place for energy offers. Price forecasting is critical when making offers in electricity markets, since it is considerably more complex than demand forecasting and the level of uncertainty is higher. Knowing electricity prices beforehand makes it possible for generators to determine their optimal production strategy in order to maximize their profit. Similarly, consumers and retailers can plan their consumption and produce energy bids to maximize their utility. Therefore, price forecasting is instrumental both for producers, retailers and consumers.

Title:Forecasting Models of Electricity PricesFormat:PaperbackProduct dimensions:258 pages, 9.61 X 6.69 X 0.7 inShipping dimensions:258 pages, 9.61 X 6.69 X 0.7 inPublished:June 2, 2017Publisher:MDPI AGLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3038424153

ISBN - 13:9783038424154

Appropriate for ages: All ages

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Table of Contents

1) Forecasting Models of Electricity Prices
2) Medium-Term Probabilistic Forecasting of Extremely Low Prices in Electricity Markets: Application to the Spanish Case
3) Automated Variable Selection and Shrinkage for Day-Ahead Electricity Price Forecasting
4) Mid-Term Electricity Market Clearing Price Forecasting with Sparse Data: A Case in Newly-Reformed Yunnan Electricity Market
5) A Hybrid Multi-Step Model for Forecasting Day-Ahead Electricity Price Based on Optimization, Fuzzy Logic and Model Selection
6) Enhanced Forecasting Approach for Electricity Market Prices and Wind Power Data Series in the Short-Term
7) Short-Term Price Forecasting Models Based on Artificial Neural Networks for Intraday Sessions in the Iberian Electricity Market
8) Short-Term Load Forecasting Using Adaptive Annealing Learning Algorithm Based Reinforcement
Neural Network
9) Market Equilibrium and Impact of Market Mechanism Parameters on the Electricity Price in Yunnan’s Electricity Market
10) Parametric Density Recalibration of a Fundamental Market Model to Forecast Electricity Prices
11) Portfolio Decision of Short-Term Electricity Forecasted Prices through Stochastic Programming
12) Ensemble Prediction Model with Expert Selection for Electricity Price Forecasting