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View article: Impact of PV and EV Forecasting in the Operation of a Microgrid
Impact of PV and EV Forecasting in the Operation of a Microgrid Open
The electrification of the transport sector together with large renewable energy deployment requires powerful tools to efficiently use energy assets and infrastructure. In this framework, the forecast of electric vehicle demand and solar p…
View article: Impact of temporal resolution on the design and reliability of residential energy systems
Impact of temporal resolution on the design and reliability of residential energy systems Open
Future energy systems incorporating high shares of intermittent renewable energy sources are often designed using optimization-based, bottom-up energy system models. However, such models are generally limited to single years and hourly res…
View article: Electric Vehicle Supply Equipment Day-Ahead Power Forecast Based on Deep Learning and the Attention Mechanism
Electric Vehicle Supply Equipment Day-Ahead Power Forecast Based on Deep Learning and the Attention Mechanism Open
Transports is one of the sectors that produce thehighest emissions of CO2; in the last ten years, there has beena process of decarbonization which has led to a considerableincrease in Electric Vehicles (EVs). However, the sudden intro-duct…
View article: Impact of Sub-Hourly Resolution on the Design and Reliability of Residential Energy System Models
Impact of Sub-Hourly Resolution on the Design and Reliability of Residential Energy System Models Open
Energy system optimization has become an indispensable tool for planning the energy transition. However, model accuracy has traditionally been limited to hourly resolution due to data availability and computational complexity. This study q…
View article: Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids
Deep Learning-Based Predictive Control for Optimal Battery Management in Microgrids Open
Effective microgrid management necessitates sophisticated strategies to optimally balance grid components and minimize power exchanges with the main grid. Central to this challenge is the energy storage system, typically comprised of lithi…
View article: Electric Vehicles charging sessions classification technique for optimized battery charge based on machine learning
Electric Vehicles charging sessions classification technique for optimized battery charge based on machine learning Open
The fast increase in electric vehicle (EV) usage in the last 10 years has raised the need to properly forecast their energy consumption during charge. Lithium-ion batteries have become the major storage component for electric vehicles, avo…