A review on the integration of probabilistic solar forecasting in power systems

B Li, J Zhang - Solar Energy, 2020 - Elsevier
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 …

An integrated model for citizen energy communities and renewable energy communities based on clean energy package: A two-stage risk-based approach

S Dorahaki, M Rashidinejad, SFF Ardestani… - Energy, 2023 - Elsevier
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 …

Optimal chance-constrained scheduling of reconfigurable microgrids considering islanding operation constraints

M Hemmati, B Mohammadi-Ivatloo… - IEEE Systems …, 2020 - ieeexplore.ieee.org
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 …

An enhanced optimal PV and battery sizing model for zero energy buildings considering environmental impacts

M Mehrtash, F Capitanescu… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
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 …

[HTML][HTML] A tri-layer optimization framework for day-ahead energy scheduling based on cost and discomfort minimization

P Koukaras, P Gkaidatzis, N Bezas, T Bragatto… - Energies, 2021 - mdpi.com
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 …

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 …

[HTML][HTML] Operating and investment models for energy storage systems

M Miletić, H Pandžić, D Yang - Energies, 2020 - mdpi.com
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 …

Two-step blackout mitigation by flexibility-enabled microgrid islanding

P Danner, A Volkova, H De Meer - Proceedings of the 15th ACM …, 2024 - dl.acm.org
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 …

A Constraint Programming approach for collective smart building scheduling improved by blockchain structure

RNEL Idrissi, M Ouassaid, M Maaroufi - Renewable Energy Focus, 2024 - Elsevier
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 …

A dual energy management for hybrid electric vehicles

L Timilsina, O Ciftci, A Moghassemi… - … and Expo (ITEC), 2024 - ieeexplore.ieee.org
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 …