The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

This study presents a novel approach for predicting hierarchical short time series. In this
article, our objective was to formulate long-term forecasts for household natural gas …

Abstract Machine learning is becoming a fundamental tool in current energy systems. It
helps to obtain accurate predictions of the variable renewable energy (VRE) generation …

Energy operations and schedules are significantly impacted by load and energy forecasting
systems. An effective system is a requirement for a sustainable and equitable environment …

Given the high stochasticity of solar irradiance, the accurate forecasts of photovoltaic plants
production can contribute to correctly manage power systems resources. In microgrids and …

This paper focuses on day-ahead electricity load forecasting for substations of the
distribution network in France; therefore, the corresponding problem lies between the …

The smart grid concept is introduced to accelerate the operational efficiency and enhance
the reliability and sustainability of power supply by operating in self-control mode to find and …

Due to technological innovation and more digitalization in this modern era, conventional
electromechanical energy meters are being replaced with smart energy meters by power …

The penetration of electric vehicles in the urban mobility is a global trend and in the next
years their insertion in the power system tends to be massive. The mass adoption of this …