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 ...

Using this information, the model can then tell us the probability of a drug-protein interaction that we did not previously ...

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

The researchers trained their RNN-based model using a four-step optimization algorithm. This algorithm allows the model to prioritize the learning of behaviorally relevant latent states, while also ...