[HTML][HTML] Smart energy management system: design of a monitoring and peak load forecasting system for an experimental open-pit mine

O Laayati, M Bouzi, A Chebak - Applied System Innovation, 2022 - mdpi.com
Digitization in the mining industry and machine learning applications have improved the
production by showing insights in different components. Energy consumption is one of the …

Smart energy management: Energy consumption metering, monitoring and prediction for mining industry

O Laayati, M Bouzi, A Chebak - 2020 IEEE 2nd International …, 2020 - ieeexplore.ieee.org
With the evolution of technology, and the well-known concept of industry 4.0 and digitization,
the energy is and always be an important factor in every field, and must follow up with the …

[HTML][HTML] Smart Energy Management: A Comparative Study of Energy Consumption Forecasting Algorithms for an Experimental Open-Pit Mine

A El Maghraoui, Y Ledmaoui, O Laayati, H El Hadraoui… - Energies, 2022 - mdpi.com
The mining industry's increased energy consumption has resulted in a slew of climate-
related effects on the environment, many of which have direct implications for humanity's …

Disruptive innovation in digital mining

C Sganzerla, C Seixas, A Conti - Procedia Engineering, 2016 - Elsevier
Mining companies are shifting their strategies and adopting new business and operating
models to include new technologies and are doing so on a more rapid and global basis than …

Low-cost internet of things (IoT) for monitoring and optimising mining small-scale trucks and surface mining shovels

H Aguirre-Jofré, M Eyre, S Valerio, D Vogt - Automation in Construction, 2021 - Elsevier
This paper discusses the design and deployment of low-cost Internet of Things (IoT) in
medium-scale open pit mines to optimise the performance of their mining small-scale trucks …

[HTML][HTML] Automated measurement systems in mine water management and mine workings–A review of potential methods

KS More, C Wolkersdorfer, N Kang… - Water Resources and …, 2020 - Elsevier
There is limited research on the application of digital technologies at mine sites for treating
and managing polluted mine water. This review will identify underlying models, theories and …

Artificial intelligence, machine learning and process automation: Existing knowledge frontier and way forward for mining sector

D Ali, S Frimpong - Artificial Intelligence Review, 2020 - Springer
Abstract Machine learning and artificial intelligence are the two fields of computer science
dealing with the innovative idea of inducing smartness and intelligence in machines and …

[HTML][HTML] Low-cost sensors technologies for monitoring sustainability and safety issues in mining activities: advances, gaps, and future directions in the digitalization for …

C Cacciuttolo, V Guzmán, P Catriñir, E Atencio… - Sensors, 2023 - mdpi.com
Nowadays, monitoring aspects related to sustainability and safety in mining activities
worldwide are a priority, to mitigate socio-environmental impacts, promote efficient use of …

[HTML][HTML] Applying sensor-based information systems to identify unplanned downtime in mining machinery operation

J Brodny, M Tutak - Sensors, 2022 - mdpi.com
Underground mining belongs to immensely complex processes and depends on many
natural, technical and organizational factors. The main factor that hinders this process is the …

[HTML][HTML] Review of key performance indicators for process monitoring in the mining industry

P Gackowiec, M Podobińska-Staniec, E Brzychczy… - Energies, 2020 - mdpi.com
The sustainable development of an organisation requires a holistic approach to the
evaluation of an enterprise's goals and activities. The essential means enabling an …