Direct short-term net load forecasting in renewable integrated microgrids using machine learning: A comparative assessment

Author:

Tziolis Georgios,Lopez-Lorente Javier,Baka Maria-Iro,Koumis Anastasios,Livera Andreas,Theocharides Spyros,Makrides George,Georghiou George E.

Funder

European Regional Development Fund

University of Cyprus

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Control and Systems Engineering

Reference50 articles.

1. International Energy Agency (IEA), “Renewable electricity,” 2022. 〈https://www.iea.org/reports/renewables-2022/renewable-electricity〉.

2. Direct net load forecasting using adaptive neuro fuzzy inference system;Aburiyana;IEEE Electr. Power Energy Conf.,2021

3. Net load forecasting using different aggregation levels;Beichter;Energy Inform.,2022

4. On comparison of two strategies in net demand forecasting using Wavelet Neural Network;Shaker;North Am. Power Symp. NAPS 2014,2014

5. Probabilistic forecasting of electricity consumption, photovoltaic power generation and net demand of an individual building using Gaussian processes;van der Meer;Appl. Energy,2018

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