Micro-energy harvesting (MEH) is a technology of renewable power generation which is a
key technology for hosting the future low-powered electronic devices for wireless sensor …

Due to the recent advancements in the Internet of Things and data science techniques, a
wide range of studies have investigated the use of data mining (DM) and machine learning …

Tire pyrolysis is a highly complex thermochemical conversion process that transforms waste
tires into high-value products such as pyrolysis oil, pyrolysis gas, and pyrolysis char. This …

This paper takes 30 provinces in China as the research subjects and constructs a real
options model to explore the impact of carbon emissions trading market, energy storage …

In recent years, deep reinforcement learning (DRL) has garnered substantial attention in the
context of enhancing resilience in power and energy systems. Resilience, characterized by …

Accurate wind power forecasting helps to carry out effective scheduling and scientific
management of wind power, and improve the security and reliability of the power grid …

This study investigates the lead-lag effect between crude oil futures and petroleum products
from the view of price predictability. The findings of the Granger causality test provide …

Using smart grids has become crucial for achieving efficient and sustainable energy
management. One of the main challenges in smart grids is optimizing energy efficiency by …

Effective control of energy consumption in public buildings holds paramount significance for
global sustainable development. However, uncertainty in occupant behavior during …

This paper proposes a novel optimal control method for multi-zone HVAC systems to
enhance energy efficiency and improve occupant comfort. To address the disturbances in …