A comprehensive review of firefly algorithms
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 …
has been applied in almost all areas of optimization, as well as engineering practice. Many …
[HTML][HTML] Artificial intelligence for electricity supply chain automation
Abstract The Electricity Supply Chain is a system of enabling procedures to optimize
processes ranging from production to transportation and consumption of electricity. The …
processes ranging from production to transportation and consumption of electricity. The …
Adaptive robust optimization for the security constrained unit commitment problem
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 …
new challenges as the supply and demand uncertainty increases dramatically due to the …
Bilateral contract networks for peer-to-peer energy trading
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 …
peer energy trading. Coordinating small-scale distributed energy resources to shape overall …
[BOOK][B] Decision making under uncertainty in electricity markets
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 …
significant level of data uncertainty. For agents to make informed decisions within such a …
A model predictive control approach to microgrid operation optimization
Microgrids are subsystems of the distribution grid, which comprises generation capacities,
storage devices, and controllable loads, operating as a single controllable system either …
storage devices, and controllable loads, operating as a single controllable system either …
Energy management and optimization methods for grid energy storage systems
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 …
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
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 …
consisting of intermittent distributed generation (DG), storage, dispatchable DG, and price …
Deep reinforcement learning for strategic bidding in electricity markets
Bi-level optimization and reinforcement learning (RL) constitute the state-of-the-art
frameworks for modeling strategic bidding decisions in deregulated electricity markets …
frameworks for modeling strategic bidding decisions in deregulated electricity markets …
Stochastic security for operations planning with significant wind power generation
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 …
several countries are committed to install wind power generation up to and beyond the 10 …