Electricity energy dataset "BanE-16": Analysis of peak energy demand with environmental variables for machine learning forecasting.

ABSTRACT: The "BanE-16" dataset is a comprehensive repository integrating electricity grid dynamics with meteorological variables for machine learning-based energy forecasting. Featuring peak energy demand, environmental factors (temperature, wind speed, atmospheric pressure), and electricity generation statistics, this dataset enables intricate analysis of weather-energy correlations. Its multidimensional nature facilitates predictive modeling, exploring intricate dependencies, and optimizing energy infrastructure. Leveraging machine learning methodologies, this dataset stands as a catalyst for innovative forecasting models and informed decision-making in energy management. Its diverse variables offer a holistic perspective, empowering researchers to delve into nuanced interrelationships, paving th

SUBMITTER: Salehin I 

PROVIDER: S-EPMC10792676 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature