Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation

Data-Driven Energy Storage Scheduling to Minimise Peak Demand on Distribution Systems with PV Generation

The growing adoption of decentralised renewable energy generation (such as solar photovoltaic panels and wind turbines) and low-carbon technologies will increase the strain experienced by the distribution networks in the near future. In such a scenario, energy storage is becoming a key alternative t...

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Bibliographic Details
Main Authors: Eugenio Borghini, Cinzia Giannetti, James Flynn, Grazia Todeschini
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Energies
Subjects:
short-term electrical load forecasting
distribution systems
photovoltaic power generation
constrained optimisation under uncertainty
battery energy storage system
machine learning
Online Access:https://www.mdpi.com/1996-1073/14/12/3453

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