The optimal co-planning of the integrated energy system (IES) and machine learning (ML)
application on the multivariable prediction of IES parameters have mostly been carried out …

The Internet of Things (IoT) is on the verge of a major paradigm shift. In the IoT system of the
future, IoFT, the “cloud” will be substituted by the “crowd” where model training is brought to …

The study introduces a framework for forecasting and decision-making in multi-criteria
processes and proposes their application in the decarbonization of urban areas. Optimizing …

Building photovoltaic (PV) power generation is intermittent, volatile, random, and
uncontrollable; thus, the use of solar grid-connected power generation can lead to a series …

In the low-carbon transition process of urban energy systems, synergistic planning with
different sectors faces challenges in terms of modeling complexity, optimization accuracy …

Although noteworthy efforts towards energy storage participation in electricity markets have
been witnessed worldwide during the last decades, market mechanisms for optimal storage …

In this paper, monolithic biochar-supported cobalt-based catalysts with unique long and
through mesopores were synthesized based on the biological channels of biomass …

The uncertainty of wind power poses a serious challenge in peak regulation for multi-area
interconnected power system, and this paper proposes a method for quantitatively …

The preparation of titanium carbide (Ti3C2T x) thin sheets (T represents surface
termination), an emerging class of two-dimensional materials, heavily relies on the etching …

Biomass materials forms special biological structures in their growth process, and these
structures can be well retained via thermochemical conversion, which have great potential to …