The first dimension is the most fundamental: statistical fidelity. It is not enough for synthetic data to look random. It must behave like real data. This means your distributions, cardinalities, and ...

Abstract: The exponential increase in the adoption of Electric Vehicles (EVs) presents significant problems to the stability of the power grid. Therefore, it is crucial to accurately anticipate the ...

An expert software engineer reinforced digital banking and lending platforms, helping them improve data flow, resolve service issues quickly, and serve millions ...

A controlled engine test running at full power, focusing on performance, stability, and system checks. A practical look at how engines are evaluated before real-world use. What do engineers look for ...

Abstract: This paper proposes a short-term load forecasting model combining Seasonal-Trend decomposition using Loess (STL decomposition) and Stacking ensemble learning. The method decomposes power ...