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A review on the integration of probabilistic solar forecasting in power systems
As one of the fastest growing renewable energy sources, the integration of solar power
poses great challenges to power systems due to its variable and uncertain nature. As an …
poses great challenges to power systems due to its variable and uncertain nature. As an …
An integrated model for citizen energy communities and renewable energy communities based on clean energy package: A two-stage risk-based approach
Energy communities are at the heart of forming sustainable cities. Beside their important role
in decarbonization, they can bring economic, and social benefits to the End-users. Based on …
in decarbonization, they can bring economic, and social benefits to the End-users. Based on …
Optimal chance-constrained scheduling of reconfigurable microgrids considering islanding operation constraints
Microgrid concept is one of the suitable strategies for increasing resilience and preventing
load curtailment, especially in emergency conditions. Operation in islanded mode is one of …
load curtailment, especially in emergency conditions. Operation in islanded mode is one of …
An enhanced optimal PV and battery sizing model for zero energy buildings considering environmental impacts
The important focus of the energy strategy of the European Union relies on the concept of
zero energy building (ZEB), which is, by definition, a building that roughly produces yearly …
zero energy building (ZEB), which is, by definition, a building that roughly produces yearly …
[HTML][HTML] A tri-layer optimization framework for day-ahead energy scheduling based on cost and discomfort minimization
Over the past few decades, industry and academia have made great strides to improve
aspects related with optimal energy management. These include better ways for efficient …
aspects related with optimal energy management. These include better ways for efficient …
A multi-agent deep reinforcement learning approach for a distributed energy marketplace in smart grids
A Ghasemi, A Shojaeighadikolaei… - … for Smart Grids …, 2020 - ieeexplore.ieee.org
This paper presents a Reinforcement Learning (RL) based energy market for a prosumer
dominated microgrid. The proposed market model facilitates a real-time and demand …
dominated microgrid. The proposed market model facilitates a real-time and demand …
[HTML][HTML] Operating and investment models for energy storage systems
In the context of climate changes and the rapid growth of energy consumption, intermittent
renewable energy sources (RES) are being predominantly installed in power systems. It has …
renewable energy sources (RES) are being predominantly installed in power systems. It has …
Two-step blackout mitigation by flexibility-enabled microgrid islanding
Blackouts are disastrous events with a low probability of occurrence but a high impact on the
system and its users. With the help of more distributed and controllable generation and …
system and its users. With the help of more distributed and controllable generation and …
A Constraint Programming approach for collective smart building scheduling improved by blockchain structure
Abstract Demand Side Management (DSM) is an effective strategy for balancing the supply
and demand of electricity and improving the reliability of the smart grid by addressing current …
and demand of electricity and improving the reliability of the smart grid by addressing current …
A dual energy management for hybrid electric vehicles
Electric vehicles (EVs) are gaining increasing recognition as an effective means to combat
climate change and reduce greenhouse gas emissions. Lithium-ion batteries have emerged …
climate change and reduce greenhouse gas emissions. Lithium-ion batteries have emerged …