Repositorio de Universidad Autónoma de Chile.
metadata only
Intelligent management of the energy in copper mining, using predictive supervision systems
In this work it is analyzed the case of Great Mining Chilean Enterprise show at present, due to the sustained increase of the energetic costs that in the last years have generated a decrease of the profitability. As a solution, it is proposed the creation of an intelligent system of management and s
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- PLANET: An Intelligent Decision Support System for Resource Planning in Manufacturing Organizations#933633
- Utilizing AI-Driven Project Management Tools for Optimized Talent Management in HRM: A Framework for Enhanced Resource Allocation and Performance Prediction#1033937
- The A B C of Mining: A Handbook for Prospectors#52244
- MineTRACE: An Evidence-Grounded Interactive Reasoning System for Mineral Prospectivity#822467
- ITS for Enhancing Training Methodology for Students Majoring in Electricity#756281
Record · ID 948567
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive