The final, formatted version of the article will be published soon. Abstract—Accurate forecasting of solar photovoltaic (PV) generation and periodic load demand is critical for efficient and reliable ...
TOKYO--(BUSINESS WIRE)--Mitsubishi Electric Corporation (TOKYO: 6503) announced today that it has developed the world’s first technology to generate millimeter-scale flow within a channel by using ...
Shares of Gorilla Technology (GRRR) jumped 13% in premarket trading on Tuesday after the company released its 2026 forecast, reaffirmed its revenue outlook, and projected positive operating cash flow.
This project focuses on forecasting energy consumption using machine learning techniques. The model utilizes historical real-world power consumption data from Iran’s National Power Grid (from March 22 ...
When using geoaxes or geoplot, MATLAB hangs for a long time and then the hosted basemaps won't load except for "satellite" one. The default is "streets-light" or "streets-dark" and it causes the ...
In patients with ST-segment elevation myocardial infarction (STEMI)-induced cardiogenic shock undergoing hemodynamic monitoring with a pulmonary artery catheter, the use of a microaxial flow pump ...
This paper proposes a unique approach to load forecasting using a fast convergent artificial neural network (ANN) and is driven by the critical need for power system planning. The Mazoon Electrical ...
Abstract: Electrical load forecasting is an vital module of power system planning and operation because accurate predictions regarding future electricity demand are imperative in the efficient ...
Integrating renewable generation capacity into the grid is a key challenge for the US energy transition. As an example, the Energy Information Administration (EIA) projects the addition of 26 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results