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Electricity Load Forecasting Using Deep Learning and Novel Hybrid Models
(Sakarya University, 2022)
Load forecasting is an essential task which is executed by electricity retail companies. By
predicting the demand accurately, companies can prevent waste of resources and blackouts.
Load forecasting directly affect the ...
Dynamic rolling horizon control approach for a university campus
(Elsevier Ltd, 2022)
An energy management system based on the rolling horizon control approach has been proposed for the grid-connected
dynamic and stochastic microgrid of a university campus in Malta. The aims of the study are to minimize ...
A novel integration of MCDM methods and Bayesian networks: the case of incomplete expert knowledge
(SPRINGER, 2022)
In this study, we propose an effective integration of multi criteria decision making methods
and Bayesian networks (BN) that incorporates expert knowledge. The novelty of this approach
is that it provides decision support ...