⌘+K

Pulse Explore Communities Researchers Journals

Home Communities Explore

May 29, 2014Integrated Computer-Aided EngineeringOpen Access

Adaptive learning in agents behaviour: A framework for electricity markets simulation

Tiago Pinto Zita Vale Tiago Sousa Isabel Praça Gabriel Santos Hugo Morais

View Full Paper

Ask AI

Bookmark

Share

Abstract

Electricity markets are complex environments, involving a large number of different entities, playing in a dynamic scene to obtain the best advantages and profits. MASCEM (Multi-Agent System for Competitive Electricity Markets) is a multi-agent elect

Discussion

No takes yet. Share an insight, caveat, or question.

Cite This Study

Pinto et al. (2014) studied this question.

synapsesocial.com/papers/6a6fc36be36a167817e17d64 https://doi.org/10.3233/ica-140477

View Full Paper

Ask AI

Bookmark

Share

Keep reading

Synapse has enriched 5 related papers. Consider them for comparative context:

1Modeling of air-fuel mixture flow in a marine four-stroke diesel engine to optimize performance and minimize pollutant emissionsIntegrated Computer-Aided Engineering · Tue,
2Evolutionary neural architecture design for text-driven computer-aided visual concept generationIntegrated Computer-Aided Engineering · Wed,
3Rapid seismic vulnerability assessment using closed-form damage index equations obtained via explainable machine learningIntegrated Computer-Aided Engineering · Wed,
4A secure anti-counterfeiting system based on perovskite microstructuresIntegrated Computer-Aided Engineering · Wed,
5A latent diffusion framework for spatiotemporal enhancement of geostationary satellite imageryIntegrated Computer-Aided Engineering · Tue,

More from Integrated Computer-Aided Engineering

Temporal coordination aware reinforcement learning for multi-agent UAV navigation in dynamic environmentsFri,
Membrane computing for the identification of network traffic anomalies in communication networksThu,
Deterministic population initialization for multi-objective mapping of multiple applications in network-on-chip-based many-core systemsThu,
An adaptive multi-agent system for dynamic detection and prediction of daily energy profiles in buildingsWed,
Autonomous vessel collision avoidance verification using geometric optimizationTue,