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Jan 16, 2023In this paper, a comprehensive study has been investigated for the optimal management of a VPP by modeling different resources—RESs, energy ...
J. Lee, S. Lee, J. Kim, 2020, Optimal operation of virtual power plants using machine learning-based new and renewable energy prediction, pp. 81 Google Search.
In this paper, an optimal bidding strategy is presented for VPP to participate in energy and spinning reserve markets.
Comprehensive Energy System Planning for Optimal Integration of Renewable Energy Sources , Evaluation Methods of Carbon Emissions in Substations Based on Energy ...
Sep 11, 2024This paper proposes a profit driven strategy for scheduling of resources associated with VPP during peak load demand in competitive electricity market
In this paper, an optimal bidding strategy is presented for VPP to participate in energy and spinning reserve markets. The uncertainties in the stochastic ...
Sep 30, 2024The goal of this collaborative proposal is to develop novel machine learning based algorithms to address the problem of energy optimization at ...
This study examines the cost of optimal operating of the SVPP and the amount of produced pollution in four different scenarios in the presence of a demand ...
This paper proposes a machine learning based strategy, that is suitable for real-time operation, to determine the optimal. PV reserve for frequency control. The ...
Sep 14, 2024Aim of this work is to combine and incorporate machine learning methods on bacterial genomic data to predict antimicrobial resistance, we will ...