In recent decades, the Variational AutoEncoder (VAE) model has shown good potential and
capability in image generation and dimensionality reduction. The combination of VAE and …

The energy sector plays a vital role in achieving a sustainable net-zero future, and the
adoption of advanced technologies such as AI, blockchain, quantum computing, digital twin …

The efficient use of the photovoltaic power requires a good estimation of the PV generation.
That is why the use of good techniques for forecast is necessary. In this research paper …

Short‐term load forecasting is the basis of power system operation and analysis and is of
great significance for the stable operation of power systems. To solve the problems of …

Code completion has become an important feature of today's integrated development
environments (IDEs). This task involves predicting the next code token (s) based on its …

We present a novel long short-term memory (LSTM) approach for time-series prediction of
the sand demand which arises from preparing the sand moulds for the iron casting process …

Forecasting of energy is a crucial component in overcoming the challenges of smart grid
mechanisms, which include functions such as demand-side management, load reduction …

The importance of electricity in both daily lives of people and the economy of the country has
made it a vital commodity. Accurate forecasting of electricity load is crucial to regulate …

In this paper, a PCA-SSA-DBIGRU-Attention multi-factor short-term power load forecasting
model is proposed. Taking a complete account of the influence of meteorological factors …

Die Industrieproduktion steht besonders an Standorten mit hohen Energiepreisen unter
einem starken internationalen Wettbewerbsdruck. Modellprädiktive Steuerungen, die …