Forecasting of electricity price through a functional prediction of sale and purchase curves
Sign Up to like & getrecommendations! Published in 2019 at "Journal of Forecasting"
DOI: 10.1002/for.2624
Abstract: This work proposes a new approach for the prediction of the electricity price based on forecasting aggregated purchase and sale curves. The basic idea is to model the hourly purchase and the sale curves, to… read more here.
Keywords: purchase; sale purchase; sale; electricity price ... See more keywords
On the impact of outlier filtering on the electricity price forecasting accuracy
Sign Up to like & getrecommendations! Published in 2019 at "Applied Energy"
DOI: 10.1016/j.apenergy.2018.11.076
Abstract: Abstract Increasing the accuracy of short-term electricity price forecasting allows day-ahead power market participants to obtain a positive economic effect by bidding close to the equilibrium price. However the electricity price time-series is generally infested… read more here.
Keywords: forecasting accuracy; price forecasting; electricity price; price ... See more keywords
The impact of electric vehicles’ market expansion on wholesale electricity price – The case of Lithuania
Sign Up to like & getrecommendations! Published in 2021 at "Case studies on transport policy"
DOI: 10.1016/j.cstp.2021.02.003
Abstract: Abstract Driven by environmental policy making, electro-mobility has become a crucial tool to mitigate the transport induced CO2 emissions and is being subsidized by Governments, creating more incentives for end users to adopt it. This… read more here.
Keywords: market; wholesale electricity; case; electricity ... See more keywords
Electricity price and habits: Which would affect household electricity consumption?
Sign Up to like & getrecommendations! Published in 2021 at "Energy and Buildings"
DOI: 10.1016/j.enbuild.2021.110888
Abstract: Abstract This research analyzes the effects of electricity prices and habits on electricity consumption behavior, which is of significance for identifying the mechanism of electricity consumption behavior. We use economic statistics and data from 3,320… read more here.
Keywords: electricity saving; electricity; electricity price; electricity consumption ... See more keywords
Day-ahead electricity price forecasting with high-dimensional structures: Univariate vs. multivariate modeling frameworks
Sign Up to like & getrecommendations! Published in 2018 at "Energy Economics"
DOI: 10.1016/j.eneco.2017.12.016
Abstract: 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 multivariate. We provide evidence that despite a minor… read more here.
Keywords: high dimensional; multivariate modeling; electricity price; multivariate ... See more keywords
On the importance of the long-term seasonal component in day-ahead electricity price forecasting
Sign Up to like & getrecommendations! Published in 2019 at "Energy Economics"
DOI: 10.1016/j.eneco.2018.02.007
Abstract: A recent electricity price forecasting study has shown that the Seasonal Component AutoRegressive (SCAR) modeling framework, which consists of decomposing a series of spot prices into a trend-seasonal and a stochastic component, modeling them independently… read more here.
Keywords: seasonal component; price forecasting; predictive distributions; scar ... See more keywords
Application of bagging in day-ahead electricity price forecasting and factor augmentation
Sign Up to like & getrecommendations! Published in 2021 at "Energy Economics"
DOI: 10.1016/j.eneco.2021.105573
Abstract: The electricity price forecasting (EPF) is a challenging task not only because of the uncommon characteristics of electricity but also because of the existence of many potential predictors with changing predictive abilities over time. Particularly,… read more here.
Keywords: price forecasting; electricity price; day ahead; ahead electricity ... See more keywords
Effective long short-term memory with differential evolution algorithm for electricity price prediction
Sign Up to like & getrecommendations! Published in 2018 at "Energy"
DOI: 10.1016/j.energy.2018.05.052
Abstract: Electric power, as an efficient and clean energy, has considerable importance in industries and human lives. Electricity price is becoming increasingly crucial for balancing electricity generation and consumption. In this study, long short-term memory (LSTM)… read more here.
Keywords: term memory; electricity price; long short; electricity ... See more keywords
Forecast the electricity price of U.S. using a wavelet transform-based hybrid model
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DOI: 10.1016/j.energy.2019.116704
Abstract: Abstract Wavelet transform (WT), as a data preprocessing algorithm, has been widely applied in electricity price forecasting. However, this deterministic-based algorithm does not present stable performance owing to the experiential selection of its orders and… read more here.
Keywords: electricity price; electricity; wavelet transform; model ... See more keywords
A novel machine learning-based electricity price forecasting model based on optimal model selection strategy
Sign Up to like & getrecommendations! Published in 2022 at "Energy"
DOI: 10.1016/j.energy.2021.121989
Abstract: Abstract 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 effective optimization and selection strategies to obtain optimal models… read more here.
Keywords: electricity price; selection; electricity; model ... See more keywords
GHTnet: Tri-Branch deep learning network for real-time electricity price forecasting
Sign Up to like & getrecommendations! Published in 2022 at "Energy"
DOI: 10.1016/j.energy.2021.122052
Abstract: Abstract A highly accurate electricity price prediction model is of the utmost importance for multiple power systems tasks, such as generation dispatch and bidding. Due to the liberalization of the electricity market, as well as… read more here.
Keywords: real time; electricity price; time; deep learning ... See more keywords