Alexa Apaza Pinto's research works | Universidad Católica de Santa María, Santa María (UCSM) and other places

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FIGURE 1. Phases of the CRISP-DM methodology [28].

FIGURE 2. Phase activities for understanding the business.

FIGURE 3. Diagram equivalent to the battery bank in a photovoltaic system.

FIGURE 4. Mobile Repeater. Protab (2018)

Supervised Machine Learning Techniques For The Prediction Of The State Of Charge Of Batteries In Photovoltaic Systems In The Mining Sector

Article

Full-text available

Jan 2022

One of the critical aspects in the mining sector is energy, being of great importance for the operation since if it were to stop, one of the consequences would be the loss of large amounts of money. The research objective is to predict the State of Charge of Batteries of equipment powered by photovoltaic solar panels in the mining sector based on a...

Citations

Supervised Machine Learning Techniques For The Prediction Of The State Of Charge Of Batteries In Photovoltaic Systems In The Mining Sector

Citing article

Jan 2022

Alexa Apaza Pinto's research while affiliated with Universidad Católica de Santa María and other places

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Publication (1)

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