Due to the lack of historical output data new wind farms, there are difficulties in scheduling and planning power grid scenario generation. The randomness uncertainty meteorological factors lead results traditional generation methods not having ability accurately reflect their uncertainty. This article proposes a RAC-GAN-based method for farm output. First, Pearson coefficient is adopted this s...

Abstract Neural networks-based learning of the distribution non-dispatchable renewable electricity generation from sources, such as photovoltaics (PV) and wind well load demands, has recently gained attention. Normalizing flow density models are particularly suited for this task due to training through direct log-likelihood maximization. However, research field image shown that standard normali...

This paper has developed a novel multiobjective function for optimal sizing and sitting ofDistributed Generation (DG) units and capacitor banks in simultaneous mode to improve reliabilityand reduce energy losses. The proposed function consists of four objectives: Cost of Energy NotSupplied (CENS), System Average Interruption Duration Index (SAIDI), costs of energy loss andinvestment. A novel st...

Iranian offshore oil and gas platforms are mostly located in the Persian Gulf. Technical and environmental challenges resulted from an off-design running condition of processes on a platform are important issues. The weakness of strategies to stop or decrease the amount of greenhouse gas emission production rate in the Persian Gulf; which is intensively increasing, is another matter of concern....

This paper explains the possible uses of scenarios in product design. A scenario classification is proposed as a framework to create, use and reuse different types of scenarios in a product design process. Our aims are three-fold: (1) to obtain a better view on the extent to which scenarios can be useful to a product design process, (2) to identify in which specific areas of scenario-based desi...

We describe an opportunity to speed up multi-stage scenario generation and reduction using a combination of two well known methods: the moment matching method (Høyland and Wallace 2001) and the method for scenario reduction to approximately minimize a metric (Heitsch and Römish 2009). Our suggestions is to combine them rather than using them in serial by making use of a stage-wise approximation...

Using concrete stories about product or technology use, or ‘scenarios’, is a promising design approach. Nevertheless, design practices face uncertainties especially in the activities of identifying, creating and selecting scenarios. Based on a workshop series at a design company, specific problem areas in its scenario practice have been identified. Support is required in: (1) documentation of d...