The green algorithm: Making AI energy-smart

Energy is no longer a background input but a defining constraint and increasingly, a performance metric, shaping how AI ...

The Dawn Of Self-Optimizing AI Agents

Can one AI system meaningfully improve another without going back to expensive retraining runs? In other words, can our ...
Devdiscourse

Why data-driven intelligence is becoming the backbone of digital societies

Knowledge-based economies are increasingly built on data-driven intelligence rather than traditional capital or labor alone.

Pulsar Optimizes Credit Algorithms to Drive an Increase in Risk Assessment Precision

Pulsar’s risk scoring engine integrates a diverse array of data points, synthesizing user-provided information with ...
Frontiers

A comprehensive optimization method for peak shaving performance of combined cycle steam heating units

1 Electric Power Research Institute of Guangxi Power Grid Co., Ltd., Nanning, China 2 Guangxi Key Laboratory of Intelligent Control and Maintenance of Power Equipment, Nanning, China Introduction: The ...
IEEE

Distributed Optimization Algorithm for the Economic Dispatch Problem Over Delayed Communication Network

Abstract: This work investigates the economic dispatch problem (EDP) when communication links suffer heterogeneous delays, adopting general convex cost models that subsume the quadratic forms used in ...
Frontiers

Multi-objective coordinated control and optimization for photovoltaic microgrid scheduling

1 Electric Power Dispatching and Control Center of Guangdong Power Grid Co., Ltd., Guangzhou, China 2 NARI Technology Co., Ltd., Nanjing, China The stability and economic dispatch efficiency of ...
IEEE

Penalty Removal Search Algorithm for Distributed Optimization of Nonconvex Functions in Economic Dispatch

Abstract: Nonconvexity is a usually overlooked factor in economic dispatch (ED). Enhancing the nonconvexity of the objective function leads traditional convex optimization algorithms easily to fall ...