In order to identify power production and demand in realtime for efficient and dependable
management for diverse renewable energy systems, precise and intuitive renewable energy …

Renewable energy, especially wind power, is a practicable and promising solution to
mitigate the existing dilemma associated with climate change. Efficient and accurate …

The prediction of wind power output is part of the basic work of power grid dispatching and
energy distribution. At present, the output power prediction is mainly obtained by fitting and …

Drought forecasting can effectively reduce the risk of drought. We proposed a hybrid model
based on deep learning methods that integrates an autoregressive integrated moving …

Wind power is a kind of time-varying time series with fluctuation characteristics. To take full
advantage of the time-varying value provided by wind power fluctuations, a short-term wind …

An electric power distribution utility is responsible for providing energy to consumers in a
continuous and stable way. Failures in the electrical power system reduce the reliability …

Wind energy is a widely utilized form of clean energy with significant implications for
maximizing its utilization and ensuring the stability of power systems. However, existing …

With the rapid development of science and technology, the problem of energy load
monitoring and decomposition of electrical equipment has been receiving widespread …

Precise power forecasting is important in contemporary energy management systems,
especially for optimizing the use of renewable resources. However, precise predictions of …

Demand for perishable food is sensitive to product prices and is affected by the prices of
similar or alternative products. While brand loyalty influences the demand for products …