Work

Genetic modification optimization technique: A neural network multi-objective energy management approach

Year: 2024

Type: article

Abstract: Neural network-enhanced optimization technique introduced for energy management.• Suggested method cut energy costs 46 % & emissions 9 % in European Union simulations.• Human bias and subjectivity minimized through automated parameter settings.• Superior performance and transparency over traditional methods validated.• Potential applications in the energy sector and other industries highlighted.

Source: Energy and AI

DOI: 10.1016/j.egyai.2024.100417

Authors: Mutaz AlShafeey, Omar Rashdan

Institutions: Corvinus University of Budapest, Middle East University

Language: English

Topic: Energy Efficiency and Management

Subfield: Renewable Energy, Sustainability and the Environment

Field: Energy

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: gold

Estimated APC paid: $3,200