专题:Energy Load and Power Forecasting

This cluster of papers focuses on the methods and techniques for forecasting electricity prices and load demand, with an emphasis on short-term forecasting using neural networks, ARIMA models, and probabilistic approaches. The cluster also covers topics related to wind power generation, deep learning applications, and renewable energy forecasting.
最新文献
The Infrastructure Gap: Why Three AI Infrastructure Trends Share a Single Structural Cause — and What That Means for Capacity Planning

article Full Text OpenAlex

Joint Forecasting of Energy Consumption and Generation in P2P Networks Using LSTM–CNN and Transformers

article Full Text OpenAlex

EPformer: Unlocking day-ahead electricity price forecasting accuracy using the time–frequency domain feature learning strategy considering renewable energy

article Full Text OpenAlex

Feature selection and hyperparameter tuning in transformer-based deep learning models for photovoltaic power forecasting using the Swordfish Movement Optimization Algorithm (SMOA)

article Full Text OpenAlex

Intelligent industrial demand response to increase grid flexibility and reliability: A review

article Full Text OpenAlex

Enhancing Power System Flexibility Using AI‐Based Forecasting Techniques: A Comparative Study

article Full Text OpenAlex

Chinese energy security index price forecasting through the neural network

article Full Text OpenAlex

Multi-objective optimization of boiler NO emissions and platen superheater overheating based on ensemble learning and deep reinforcement learning

article Full Text OpenAlex

CT-PatchTST: Channel-Time Patch Time-Series Transformer for Long-Term Renewable Energy Forecasting

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Short-term prediction of wind power based on BKA-CNN-BiGRU-attention

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近5年高被引文献
Tackling Climate Change with Machine Learning

review Full Text OpenAlex 776 FWCI61.7093

Forecasting: theory and practice

article Full Text OpenAlex 770 FWCI125.0199

Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm

article Full Text OpenAlex 628 FWCI55.5555

FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

preprint Full Text OpenAlex 438 FWCI0

NHITS: Neural Hierarchical Interpolation for Time Series Forecasting

article Full Text OpenAlex 421 FWCI130.1277

Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities

article Full Text OpenAlex 390 FWCI32.9872

Comparison of machine learning methods for photovoltaic power forecasting based on numerical weather prediction

article Full Text OpenAlex 388 FWCI49.3489

Carbon price forecasting based on CEEMDAN and LSTM

article Full Text OpenAlex 383 FWCI33.1739

Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism

article Full Text OpenAlex 382 FWCI33.9045

Recurrent Neural Networks: A Comprehensive Review of Architectures, Variants, and Applications

review Full Text OpenAlex 377 FWCI134.6568