Cargando…

Additive Ensemble Neural Network with Constrained Weighted Quantile Loss for Probabilistic Electric-Load Forecasting

This work proposes a quantile regression neural network based on a novel constrained weighted quantile loss (CWQLoss) and its application to probabilistic short and medium-term electric-load forecasting of special interest for smart grids operations. The method allows any point forecast neural netwo...

Descripción completa

Detalles Bibliográficos
Autores principales:	Lopez-Martin, Manuel, Sanchez-Esguevillas, Antonio, Hernandez-Callejo, Luis, Arribas, Juan Ignacio, Carro, Belen
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8123084/ https://www.ncbi.nlm.nih.gov/pubmed/33922814 http://dx.doi.org/10.3390/s21092979

Ejemplares similares

Comparing quantile regression methods for probabilistic forecasting of NO(2) pollution levels
por: Vasseur, Sebastien Pérez, et al.
Publicado: (2021)

Probabilistic Load Forecasting for Building Energy Models
por: Lucas Segarra, Eva, et al.
Publicado: (2020)

Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
por: Cramer, Estee Y., et al.
Publicado: (2022)

Quantile forecast combination using stochastic dominance
por: Pinar, Mehmet, et al.
Publicado: (2017)

Probabilistic Solar Wind and Geomagnetic Forecasting Using an Analogue Ensemble or “Similar Day” Approach
por: Owens, M. J., et al.
Publicado: (2017)

Comparing trained and untrained probabilistic ensemble forecasts of COVID-19 cases and deaths in the United States
por: Ray, Evan L., et al.
Publicado: (2023)

Probabilistic forecasting of replication studies
por: Pawel, Samuel, et al.
Publicado: (2020)

Recalibrating probabilistic forecasts of epidemics
por: Rumack, Aaron, et al.
Publicado: (2022)

Probabilistic constrained optimization: methodology and applications
por: Uryasev, Stanislav
Publicado: (2000)

Probabilistic Load Forecasting Optimization for Building Energy Models via Day Characterization
por: Lucas Segarra, Eva, et al.
Publicado: (2021)

Correction for Cramer et al., Evaluation of individual and ensemble probabilistic forecasts of COVID-19 mortality in the United States
Publicado: (2023)

Mixed-frequency quantile regressions to forecast value-at-risk and expected shortfall
por: Candila, Vincenzo, et al.
Publicado: (2023)

Probabilistic Ensemble of Deep Information Networks
por: Franzese, Giulio, et al.
Publicado: (2020)

Probabilistic forecasting and Bayesian data assimilation
por: Reich, Sebastian, et al.
Publicado: (2015)

Probabilistic tsunami forecasting for early warning
por: Selva, J., et al.
Publicado: (2021)

A probabilistic classifier ensemble weighting scheme based on cross-validated accuracy estimates
por: Large, James, et al.
Publicado: (2019)

Conditional Variational Autoencoder for Prediction and Feature Recovery Applied to Intrusion Detection in IoT
por: Lopez-Martin, Manuel, et al.
Publicado: (2017)

Statistical postprocessing of ensemble forecasts
por: Vannitsem, Stéphane, et al.
Publicado: (2018)

Probabilistic Solar Wind Forecasting Using Large Ensembles of Near‐Sun Conditions With a Simple One‐Dimensional “Upwind” Scheme
por: Owens, Mathew J., et al.
Publicado: (2017)

Probabilistic forecasts of international bilateral migration flows
por: Welch, Nathan G., et al.
Publicado: (2022)

A Study of the Relationship between Weather Variables and Electric Power Demand inside a Smart Grid/Smart World Framework
por: Hernández, Luis, et al.
Publicado: (2012)

A Probabilistic Spatial Dengue Fever Risk Assessment by a Threshold-Based-Quantile Regression Method
por: Chiu, Chuan-Hung, et al.
Publicado: (2014)

Forecasting Teleconsultation Demand Using an Ensemble CNN Attention-Based BILSTM Model with Additional Variables
por: Chen, Wenjia, et al.
Publicado: (2021)

A Semantic Autonomous Video Surveillance System for Dense Camera Networks in Smart Cities
por: Calavia, Lorena, et al.
Publicado: (2012)

Advances in electric power and energy systems: load and price forecasting
por: El-Hawary, Mohamed E
Publicado: (2017)

An adaptive backpropagation algorithm for long-term electricity load forecasting
por: Mohammed, Nooriya A., et al.
Publicado: (2021)

A weighted quantile sum regression with penalized weights and two indices
por: Renzetti, Stefano, et al.
Publicado: (2023)

Repeated holdout validation for weighted quantile sum regression
por: Tanner, Eva M., et al.
Publicado: (2019)

The dynamics of carbon on green energy equity investment: quantile-on-quantile and quantile coherency approaches
por: Mo, Bin, et al.
Publicado: (2021)

An open challenge to advance probabilistic forecasting for dengue epidemics
por: Johansson, Michael A., et al.
Publicado: (2019)

Improving probabilistic infectious disease forecasting through coherence
por: Gibson, Graham Casey, et al.
Publicado: (2021)

An overview of deterministic and probabilistic forecasting methods of wind energy
por: Xie, Yuying, et al.
Publicado: (2022)

Probabilistic population forecasting: Short to very long-term()
por: Raftery, Adrian E., et al.
Publicado: (2023)

Application of Empirical Mode Decomposition with Local Linear Quantile Regression in Financial Time Series Forecasting
por: Jaber, Abobaker M., et al.
Publicado: (2014)

Structured Additive Quantile Regression for Assessing the Determinants of Childhood Anemia in Rwanda
por: Habyarimana, Faustin, et al.
Publicado: (2017)

Erratum: A weighted quantile sum regression with penalized weights and two indices
Publicado: (2023)

Electrical load prediction of healthcare buildings through single and ensemble learning
por: Cao, Lingyan, et al.
Publicado: (2020)

Electricity Load Forecasting Using Support Vector Regression with Memetic Algorithms
por: Hu, Zhongyi, et al.
Publicado: (2013)

Interpretable Short-Term Electrical Load Forecasting Scheme Using Cubist
por: Moon, Jihoon, et al.
Publicado: (2022)

Forecasting Short-Term Electricity Load with Combinations of Singular Spectrum Analysis
por: Zhang, Xiaobo
Publicado: (2022)

Cannot write session to /tmp/vufind_sessions/sess_l1iurf61g1shblai3mh29jhka7