Demand Forecasting with combination of experts

Citation Author(s):: Akylas Stratigakos (Mines ParisTech)
Submitted by:: Akylas Stratigakos
Last updated:: Tue, 03/16/2021 - 12:30

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Abstract

Submission of results and code for the 'Day-Ahead Electricity Demand Forecasting: Post Covid Paradigm' competition

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DATASET TYPE: data
USERID: 1353045
DATASETID: 14627

Dataset Citation

Akylas Stratigakos, "Demand Forecasting with combination of experts", IEEE Dataport, March 16, 2021, doi:10.21227/p04q-6b88

@data{p04q-6b88-21,
doi = {10.21227/p04q-6b88},
url = {https://dx.doi.org/10.21227/p04q-6b88},
author = {Akylas Stratigakos},
publisher = {IEEE Dataport},
title = {Demand Forecasting with combination of experts},
year = {2021} }

TY - DATA
T1 - Demand Forecasting with combination of experts
AU - Akylas Stratigakos
PY - 2021
PB - IEEE Dataport
UR - 10.21227/p04q-6b88
ER -

Akylas Stratigakos (2021). Demand Forecasting with combination of experts. IEEE Dataport. https://dx.doi.org/10.21227/p04q-6b88

Akylas Stratigakos 2021 Demand Forecasting with combination of experts. Available at: https://dx.doi.org/10.21227/p04q-6b88

Akylas Stratigakos.(2021). "Demand Forecasting with combination of experts." Web,

1. Akylas Stratigakos. Demand Forecasting with combination of experts [Internet]. IEEE Dataport; 2021. Available from: https://dx.doi.org/10.21227/p04q-6b88

Akylas Stratigakos, "Demand Forecasting with combination of experts,", doi: 10.21227/p04q-6b88.

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Permalink: https://ieee-dataport.org//analysis/demand-forecasting-combination-experts

DOI Link: https://dx.doi.org/10.21227/p04q-6b88

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Abstract

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