A new methodology, that combine three different Artificial Intelligence techniques, is
proposed in this paper to solve the energy demand planning in Smart Homes. Conceived as …

The generation of electric energy by photovoltaic (PV) panels depends on many parameters,
one of them is the sun's angle of incidence. By using solar active trackers, it is possible to …

As fossil fuel is being depleted, the percentage of wind power capacity in total electricity
generation is increasing. In order to improve the absorption capacity of wind power, wind …

The efficient use of the photovoltaic power requires a good estimation of the PV generation.
That is why the use of good techniques for forecast is necessary. In this research paper …

Due to the nonlinear and non-stationary characteristics of the carbon price, it is difficult to
predict the carbon price accurately. This paper proposes a new novel hybrid model for …

In a large internal combustion diesel engine, less than half of the fuel energy is converted
into useful energy, while the remaining energy is lost, mainly by the exhaust gases and …

With the development of the carbon market in China, research on the carbon price has
received more and more attention in related fields. However, due to its nonlinearity and …

The breakthrough of electroencephalogram (EEG) signal classification of brain computer
interface (BCI) will set off another technological revolution of human computer interaction …

As a result of the “Belt and Road” and “Going Global” policies, a growing number of Chinese
power companies are expanding overseas, implementing global development strategies …

Embedded devices are used in many domains, including healthcare, industries, and home
automation, all of which entail significant workloads. As a direct consequence, the …