The world is becoming more reliant on renewable energy sources to satisfy its growing demand. primary disadvantage of such their significant uncertainty in power production. As appropriate production planning and scheduling necessitate a solid confident assessment production, the necessity for developing reliable prediction models grows by day. This paper proposes an adaptive approach-based ens...

Energy resource scheduling becomes increasingly important, as the use of distributed resources is intensified and massive gridable vehicle use is envisaged. The present paper proposes a methodology for dayahead energy resource scheduling for smart grids considering the intensive use of distributed generation and of gridable vehicles, usually referred as Vehicle-to-Grid (V2G). This method consid...

This paper proposes and validates a data-driven minute-ahead forecast model for photovoltaic (PV) generation, which is essential real-time micro-grid scheduling. Unlike day-ahead PV forecasts that heavily rely on weather information, our proposed does not require such data as it operates in an ultra-short-term time domain. Instead, the leverages generation of target sector its adjacent sectors ...

Integrating power and heat sectors can increase the flexibility of wind integration. Power-to-heat devices powered by renewables promote electrification decarbonization sector. This paper explores feasibility benefits using large-scale pumps for reserve provision. A two-stage stochastic optimization model is proposed day-ahead centralized scheduling integrated electricity system considering unc...

A high number of electric vehicles (EVs) in the transportation sector necessitates an advanced scheduling framework for e-mobility ecosystem operation as a whole order to overcome range anxiety and create viable business model charging stations (CSs). The must account stochastic nature all stakeholders' operations, including EV drivers, CSs, retailers their mutual interactions. In this paper, t...

The coordinated use of electricity and a heat energy system can effectively improve the structure during winter heating in northern part China environmental pollution problem. In this paper, an economic scheduling model electric–thermal integrated system, including wind turbine, regenerative electric boiler, solar collection biomass ground source pump battery is proposed, boiler was selected as...