Energy resources have firmly occupied an unshakable position, which is indispensable both
in industrial field and daily life. More accurate prediction of energy futures price has always …

Abstract Machine learning algorithms provide feasibility for crude oil price prediction. In this
paper, a novel multi-hybrid predictive neural network model is proposed based on complex …

The energy management of electrical machine is significant to ensure efficient power
consumption. Mismanagement of energy consumption could give impact on low efficiency of …

Energi listrik merupakan salah satu kebutuhan yang sangat penting untuk kehidupan serta
dibutuhkan dalam berbagai kegiatan. Seiring perkembangan zaman kebutuhan listrik akan …

Актуальная и значимая задача заключается в прогнозировании потребления
электрической энергии. В данном исследовании рассматриваются современные …

The efficient operation of power systems and future planning, electricity load forecast is very
important. Load estimation is based on predicting future electric load by examining past …

Os avanços tecnológicos acontecem por intermédio de pesquisas e estudos, podem
inclusive ocorrer através da criação de novos paradigmas, como a computação em nuvem …

In recent years, there is a significant increase in the number of devices with low power
consumption. The energy requirements of these devices are provided by chemical batteries …

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