Electricity peak load forecasting plays an important role in electricity generation capacity
planning to ensure reliable power supplies. To achieve high forecast accuracy, multiple …

By conserving natural resources and reducing the consumption of fossil fuels, sustainable
energy development plays a crucial role in energy planning. Specifically, demand-side …

The accurate forecasting of solar irradiance depends on various uncertain parameters like
time of day, temperature, wind speed, humidity, and atmospheric pressure. All these play an …

Short-term load forecasting is an important issue for the electric power system in efficiently
managing the network and reducing operating costs. In addition, with the recent …

This research focused on which factors affect electricity sales revenue and how much it
costed. We used data mining: linear regression and classification method to analyze with …

The article explores using multiple linear regression (MLR) approach to predict the cross-
section of beam-column steel members. These members are complex in design, as they …

Рассмотрены вопросы, связанные с прогнозированием годового электропотребления
энергосистем. Исследованы экстраполяционные свойства регрессионных и …

Electricity peak load forecasting plays an important role in electricity generation capacity
planning to ensure reliable power supplies. To achieve high forecast accuracy, multiple …

By utilising novel techniques to boost classification performance, ML is utilised to obtain
healthcare knowledge. These classifiers have the potential to boost model decision and …

This research focuses on how CO 2 volume emission by producing electricity should be
released suitably as well as how electricity is produced sufficiently for Thailand country at …