Energy Consumption forecasting is an important part of proper management and sustainability for the grid. Deep learning models are currently being employed as strong energy demand predictors. Here, ...

High-precision photovoltaic (PV) power prediction is the key technology to ensure the safe and stable operation of power grid. To improve the accuracy of PV power prediction, this paper proposes a PV ...

This code provides a comprehensive framework to replicate the proposed TCN-LSTM model and used it as a signal generator for the strategy backtest. The provided conceptual code for backtesting.py and ...

Dubbed Adaptive Branching Monte Carlo Tree Search (AB-MCTS), it is a new inference-time scaling algorithm by Sakana AI.

A research team from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences has proposed a novel model optimization algorithm—External Calibration-Assisted Screening (ECA)— that ...

A new algorithm helps topology optimizers skip unnecessary iterations, making optimization and design faster, more stable and ...