The carbon dioxide (CO 2) emissions have reached their highest levels since
measurements began in recent years. This is widely regarded as one of the primary factors …

Carbon peaking and carbon neutrality, which are significant strategies for national
sustainable development, have attracted enormous attention from researchers in the …

Nowadays, with the wide installation of distributed energy resources and independent
energy storage systems, prosumers as a new type of electricity market entity have emerged …

Develo** the deep learning (DL) technique is a promising way to improve renewable
energy forecasting accuracy and offset the negative impacts of renewable energy on the …

Carbon markets are widely recognized as effective strategies for regulating carbon
emissions from the enterprises of the high-carbon industry. Accurate monitoring of emissions …

Non-intrusive load monitoring has emerged as an important tool for disaggregating the
energy consumption of individual appliances within a facility, relying solely on data from a …

Cities in China are on the frontline of low-carbon transition which requires monitoring city-
level emissions with low-latency to support timely climate actions. Most existing CO2 …

The appliance types and power consumption patterns vary greatly across different
industries. This can lead to unstable identification results of traditional appliance load …

Purpose With limited empirical evidence, prior studies have proposed that green practices
can be leveraged to enhance carbon neutrality. This study draws on the contingent natural …

The industrial load sample data categories are unbalanced, resulting in low classification
performance for a few sample categories. An imbalanced industrial load identification …