Energy Load and Power Forecasting
Energy Load and Power Forecasting is a research topic within Electrical and Electronic Engineering. Science Explorer counts 39k research works in it since 1950. 9.9% of them reached the world's top 10% most cited for their field and year.
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.
- Electricity Price Forecasting
- Load Forecasting
- Short-Term Forecasting
- Neural Networks
- Wind Power Generation
- ARIMA Models
- Probabilistic Forecasting
- Deep Learning
- Renewable Energy
- Time Series Analysis
- Research works
- 39k fractional, since 1950
- In the world top 10%
- 3.9k per year above
- Top-10% rate
- 9.9% share of its works in the world top 10%
- Growth, 2018-21 → 2022-25
- +80% the tick is no change
- Largest producer
China
55% of the 10 largest, 2022-now
Discussion
Ask a question or share a note about Energy Load and Power Forecasting. Keep it to the research: no personal attacks, advertising or links. Any reader can report a post, which collapses it for everyone until it is opened.