Optimal Day-Ahead Scheduling and Operation of the Prosumer by Considering Corrective Actions Based on Very Short-Term Load Forecasting

Optimal Day-Ahead Scheduling and Operation of the Prosumer by Considering Corrective Actions Based on Very Short-Term Load Forecasting

Energy management systems (EMSs) play an important role in the optimal operation of prosumers. As an essential segment of each EMS, the load forecasting (LF) block enhances the optimal utilization of renewable energy sources (RESs) and battery energy storage systems (BESSs). In this paper, a new opt...

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Bibliographic Details
Main Authors: Jamal Faraji, Abbas Ketabi, Hamed Hashemi-Dezaki, Miadreza Shafie-Khah, Joao P. S. Catalao
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
load forecasting (LF)
multi-layer perceptron artificial neural network (ANN-MLP)
optimal operation and scheduling
prosumer
battery energy storage system (BESS)
renewable energy sources (RESs)
Online Access:https://ieeexplore.ieee.org/document/9082670/

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