Electricity price forecasting on the day-ahead market using machine learning

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks

(2022) Mir Riyanul Islam et al.   Applied Sciences-Basel

A Survey on the Explainability of Supervised Machine Learning

(2021) Nadia Burkart et al.   JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH

Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark

(2021) Jesus Lago et al.   APPLIED ENERGY

What do we want from Explainable Artificial Intelligence (XAI)? – A stakeholder perspective on XAI and a conceptual model guiding interdisciplinary XAI research

(2021) Markus Langer et al.   ARTIFICIAL INTELLIGENCE

Data augmentation for time series regression: Applying transformations, autoencoders and adversarial networks to electricity price forecasting

(2021) Sumeyra Demir et al.   APPLIED ENERGY

An effective Two-Stage Electricity Price forecasting scheme

(2021) Wei Shi et al.   ELECTRIC POWER SYSTEMS RESEARCH

The great multivariate time series classification bake off: a review and experimental evaluation of recent algorithmic advances

(2020) Alejandro Pasos Ruiz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Deep learning for time series classification: a review

(2019) Hassan Ismail Fawaz et al.   DATA MINING AND KNOWLEDGE DISCOVERY

Variance Stabilizing Transformations for Electricity Spot Price Forecasting

(2018) Bartosz Uniejewski et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

A Survey of Methods for Explaining Black Box Models

(2018) Riccardo Guidotti et al.   ACM COMPUTING SURVEYS

Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks

(2016) Dogan Keles et al.   APPLIED ENERGY

Day-ahead electricity price forecasting via the application of artificial neural network based models

(2016) Ioannis P. Panapakidis et al.   APPLIED ENERGY

Short-term load forecasting using a kernel-based support vector regression combination model

(2014) JinXing Che et al.   APPLIED ENERGY

Short-term traffic forecasting: Where we are and where we’re going

(2014) Eleni I. Vlahogianni et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Day-Ahead Deregulated Electricity Market Price Forecasting Using Recurrent Neural Network

(2012) S. Anbazhagan et al.   IEEE Systems Journal

Day-ahead electricity price forecasting using wavelet transform combined with ARIMA and GARCH models

(2010) Zhongfu Tan et al.   APPLIED ENERGY

Short-term electricity prices forecasting based on support vector regression and Auto-regressive integrated moving average modeling

(2010) Jinxing Che et al.   ENERGY CONVERSION AND MANAGEMENT

Combining discrete SVM and fixed cardinality warping distances for multivariate time series classification

(2010) C. Orsenigo et al.   PATTERN RECOGNITION

Heartbeat Time Series Classification With Support Vector Machines

(2009) A. Kampouraki et al.   IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE

A Statistical Approach for Interval Forecasting of the Electricity Price

(2008) Jun Hua Zhao et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks

(2007) Raúl Pino et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE