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Wind | Free Full-Text | Wind Power Forecasting in a Semi-Arid Region Based on Machine Learning Error Correction

Wind power forecasting is pivotal in promoting a stable and sustainable grid operation by estimating future power outputs from past meteorological and turbine data. The inherent unpredictability in wind patterns poses substantial challenges in synchronizing supply with demand, with inaccuracies potentially destabilizing the grid and potentially causing energy shortages or excesses. This study develops a data-driven approach to forecast wind power from 30 min to 12 h ahead using historical wind p...
Casa Nova Sistema El Recurrent Neural Networks Rnns National Energy Balance Neural Networks Brazilian National Electricity System Operator
Source: mdpi.com

Parascript Innovates Natural Language Processing for Unstructured Document Automation

Natural Language Processing (NLP) has various use cases within cutting-edge technology, and Parascript, a software company based in Colorado, has developed innovative NLP technology that finds data by analyzing context within a document.
United States Natural Language Processing Intelligent Document Processing Language Processing Extreme Learning Machine Artificial Intelligence

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AI a jolt of energy for Indonesian medical research

Indonesia's growth as a medical research hub will only go as far as its capacity to power its public health facilities. AI could speed up the process. The numbers don't lie: Indonesia's public health and medical research is in need of help. On the Human Development Index, Indonesia ranks 107 of 185. To lift its [...] The post AI a jolt of energy for Indonesian medical research appeared first on 360.
Jawa Timur Jakarta Raya Mauridhi Hery Purnomo Universitas Budi Luhur Institut Teknologi Sepuluh Nopember Ardyono Priyadi

AI a jolt of energy for Indonesian medical research

The limited supply has a major impact on the capacity to conduct research, which leads to poorer outcomes for public health at large.Solar power is the logical choice as an alternative energy source to meet Indonesias energy needs in remote areas, based on the countrys high potential for renewable energy.
Jakarta Raya Universitas Budi Luhun Institut Teknologi Sepuluh Nopember Mauridhi Herypurnomo Ardyono Priyadi Akhmad Musafa

"Multi-Mode Damping Control Approach for the Optimal Resilience of Rene" by Herlambang Setiadi, Nadarajah Mithulananthan et al.

The integration of power-electronics-based power plants is developing significantly due to the proliferation of renewable energy sources. Although this type of power plant could positively affect society in terms of clean and sustainable energy, it also brings adverse effects, especially with the stability of the power system. The lack of inertia and different dynamic characteristics are the main issues associated with power-electronics-based power plants that could affect the oscillatory behavi...
Java Indonesian Clean Energy Technology Extreme Learning Machine Ruit Fly Optimisation Renewable Energy Wind Power Plant
Source: uow.edu.au

"An Extreme Learning Machine Based Adaptive VISMA for Stability Enhance" by Herlambang Setiadi, Rakibuzzaman Shah et al.

Maintaining power system stability in renewable-rich power systems can be a challenging task. Generally, the renewable-rich power systems suffer from low and no inertia due to the integration of power electronics devices in renewable-based power plants. Power system oscillatory stability can also be affected due to the low and no inertia. To overcome this problem, additional devices that can emulate inertia without adding synchronous machines can be used. These devices are referred to as virtual...
Fruit Fly Indonesian Power Grid Clean Energy Technology Extreme Learning Machine Fruit Fly Optimization Renewable Energy
Source: uow.edu.au

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