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New Deep Learning-Based Approach for Wind Turbine Output Power Modeling and Forecasting
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Institute of Electrical and Electronics Engineers Inc.
, 2020 , Article)
An intelligent machine learning-based method is developed in this paper for modeling and prediction of the wind turbine (WT) output power. The developed technique makes use of the advanced machine learning models for ...
Investment deferral by optimal utilizing vehicle to grid in solar powered active distribution networks
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Elsevier
, 2020 , Article)
The load growth in the distribution grids is often handled by distribution network expansion planning. Significant part of such long-term expansion plan is required to supply on-peak load demand. The on-peak load demand ...
Stochastic linear programming for optimal planning of battery storage systems under unbalanced-uncertain conditions
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State Grid Electric Power Research Institute
, 2020 , Article)
Battery energy storage system (BESS) has already been studied to deal with uncertain parameters of the electrical systems such as loads and renewable energies. However, the BESS have not been properly studied under unbalanced ...
Critical indices and model of uncertainty perception for regional supply chains: insights from a Delphi-based study
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Emerald
, 2020 , Article)
Purpose: The dynamic nature of uncertainty sources in regional operations represents supply chain management (SCM) imperatives to review uncertainty management frameworks on an ongoing basis with a view to identifying and ...
Stochastic management of hybrid AC/DC microgrids considering electric vehicles charging demands
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Elsevier
, 2020 , Article)
The high growth of the automotive industry reveals the very bright future of this technology and its high penetration effects on the human society. No doubt that the random and volatile charging demand of these devices ...