Browsing by Subject "Bayesian neural networks"
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Article
Direct Short-Term Net Load Forecasting Based on Machine Learning Principles for Solar-Integrated Microgrids
(IEEE, 2023)Accurate net load forecasting is a cost-effective technique, crucial for the planning, stability, reliability, and integration of variable solar photovoltaic (PV) systems in modern power systems. This work presents a direct ...
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Article
Short-term electric net load forecasting for solar-integrated distribution systems based on Bayesian neural networks and statistical post-processing
(Elsevier, 2023)The increasing integration of variable renewable technologies at distribution feeders, mainly solar photovoltaic (PV) systems, presents new challenges to grid operators for accurately forecasting demand. This renders the ...