A comprehensive review of firefly algorithms

I Fister, I Fister Jr, XS Yang, J Brest - Swarm and evolutionary computation, 2013 - Elsevier
The firefly algorithm has become an increasingly important tool of Swarm Intelligence that
has been applied in almost all areas of optimization, as well as engineering practice. Many …

[HTML][HTML] Artificial intelligence for electricity supply chain automation

L Richter, M Lehna, S Marchand, C Scholz… - … and Sustainable Energy …, 2022 - Elsevier
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …

Adaptive robust optimization for the security constrained unit commitment problem

D Bertsimas, E Litvinov, XA Sun… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Unit commitment, one of the most critical tasks in electric power system operations, faces
new challenges as the supply and demand uncertainty increases dramatically due to the …

Bilateral contract networks for peer-to-peer energy trading

T Morstyn, A Teytelboym… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper proposes bilateral contract networks as a new scalable market design for peer-to-
peer energy trading. Coordinating small-scale distributed energy resources to shape overall …

[BOOK][B] Decision making under uncertainty in electricity markets

AJ Conejo, M Carrión, JM Morales - 2010 - Springer
Most relevant decisions to be made by market agents within an energy market involve a
significant level of data uncertainty. For agents to make informed decisions within such a …

A model predictive control approach to microgrid operation optimization

A Parisio, E Rikos, L Glielmo - IEEE Transactions on Control …, 2014 - ieeexplore.ieee.org
Microgrids are subsystems of the distribution grid, which comprises generation capacities,
storage devices, and controllable loads, operating as a single controllable system either …

Energy management and optimization methods for grid energy storage systems

RH Byrne, TA Nguyen, DA Copp, BR Chalamala… - IEEE …, 2017 - ieeexplore.ieee.org
Today, the stability of the electric power grid is maintained through real time balancing of
generation and demand. Grid scale energy storage systems are increasingly being …

Bidding strategy for microgrid in day-ahead market based on hybrid stochastic/robust optimization

G Liu, Y Xu, K Tomsovic - IEEE Transactions on Smart Grid, 2015 - ieeexplore.ieee.org
This paper proposes an optimal bidding strategy in the day-ahead market of a microgrid
consisting of intermittent distributed generation (DG), storage, dispatchable DG, and price …

Deep reinforcement learning for strategic bidding in electricity markets

Y Ye, D Qiu, M Sun… - … on Smart Grid, 2019 - ieeexplore.ieee.org
Bi-level optimization and reinforcement learning (RL) constitute the state-of-the-art
frameworks for modeling strategic bidding decisions in deregulated electricity markets …

Stochastic security for operations planning with significant wind power generation

F Bouffard, FD Galiana - 2008 IEEE Power and Energy Society …, 2008 - ieeexplore.ieee.org
In their attempt to cut down on greenhouse gas emissions from electricity generation,
several countries are committed to install wind power generation up to and beyond the 10 …