Accurate models for electric power load forecasting are essential to the operation and planning of a power utility company. Load forecasting helps electric utility to make important decisions on trading of power, load switching, and infrastructure development. Load forecasts are extremely important for power utilizes ISOs, financial institutions, and other stakeholder of power sector. Short ter...

TAbstractT—With the high-speed economic development in China, the transition of structural function in the urban land system highly effects the development of the urban electric load. Forecasting the urban electric load accurately is the foundation of decision making scientifically for the development and planning of the urban power grid in China. This paper improves the decision method of Tran...

The paper deals with the mechanical behavior of a micro-beam bonded with two piezoelectric layers. The micro-beam is suspended over a fixed substrate and undergoes the both piezoelectric and electrostatic actuation. The piezoelectric layers are poled through the thickness and equipped with surface electrodes. The equation governing the micro-beam deflection under electrostatic pressure is deriv...

Electric load forecasting is an important issue for a power utility, associated with the management of daily operations such as energy transfer scheduling, unit commitment, and load dispatch. Inspired by strong non-linear learning capability of support vector regression (SVR), this paper presents a SVR model hybridized with the empirical mode decomposition (EMD) method and auto regression (AR) ...

Load power is progressively shed as large, cascading blackouts of electric power transmission systems evolve. We propose a statistical estimator to measure the extent to which the load shedding is propagated. The estimator uses data from a series of simulated blackouts. The estimator is derived from a continuous state branching process that is a high level probabilistic model of the cascading p...

In modern electrical distribution systems harmonic distortions are created from a number of sources such as variable frequency drives, lighting, computers and nonlinear loads. Such harmonic distortions produce a variety of undesirable side effects ranging from poor power factor, motor failure to overloading of transformers and conductors. Now a days increasing number of renewable energy systems...

The presence of an electrical de-regulated market reinforces the need of forecast. Actions like network management, load dispatch and network reconfiguration under quality of service constraints, require reliable load forecasts. This paper establishes a methodological approach based on a Gaussian Process Model in order to choose an efficient endogenous information to be included in the input ve...

This paper develops a multivariate probabilistic framework for PEV load modelling to be embedded in system planning problems. In order to successfully integrate the uncertainty attributes of the PEVs in the probabilistic planning issues, relevant vehicular load scenarios is provided through appropriate synthetic data. A student's t copula distribution function is utilized to capture the correla...