Because of their renewable and non-polluting characteristics in power production, distributed photovoltaics have been developed, but they also criticized for the volatility output power. In this paper, an integrated energy system optimal dispatching model is proposed to improve local absorption capacity photovoltaics. First, consisting electricity, heat, cooling, gas, hydrogen modeled, a mathem...

Non-Intrusive Load Monitoring (NILM) can be used to detect, recognize, and classify switching events of individual electrical appliances from an aggregate power signal that is measured at the main line grid connection. A limitation existing solutions deep learning models tend overfit data do not express their uncertainty when making predictions. This paper shows information obtained in a natura...

The objective of the paper is to investigate walking stability of picking wheel robot in the fields of medium speed and high load complex operating environment. Firsly, we analyze the influence on walking control for simplified dynamic model of picking robot and its remaining (instabilities), guarantee the stability and convergence of simplified system for tracking errors using the Lyapunov the...

This paper proposes a reinforcement learning based SVC controller to improve the damping of power systems in the presence of load model parameters uncertainty. The proposed method is trained over a wide range of typical load parameters in order to adapt the gains of the SVC stabilizer. The simulation results show that the tuned gains of the SVC stabilizer using Reinforcement Learning can provid...

Plantar pressure provides useful information to assess the feet’s condition. These systems have emerged as popular tools in clinical environment. These systems present errors and no compensation information is presented by the manufacturer, leading to uncertainty in the measurements. Ten healthy subjects, 5 females and 5 males, were recruited. Lateral load distribution, antero-posterior load di...

OBJECTIVE This study aimed to improve our understanding of static and dynamic lower extremity sensory perception and the impact of sensory impairments on the control of walking in stroke survivors. METHODS Using a custom, real-time unloading system, we tested load perception at heel strike, mid stance and push off in 10 stroke survivors and compared their performance to 10 age-matched and 5 y...

Short-term load forecasting (STLF) is an essential procedure for effective and efficient realtime operations planning and control of generation within a power system. It provides the basis for unit-commitment and power system planning procedures, maintenance schedul‐ ing, system security assessment, and trading schedules. It establishes the generation, capaci‐ ty, and spinning reserve schedules...

The demand characteristic is the most important one in analyzing customer information. In a distribution network, there is in any moment certain degree of uncertainty about busses loads, and consequently, about load level of network, busses voltage level, and power losses. Therefore, it is very important to estimate first of all the load profiles of buses, using available data (measurements eff...

The theory of structural reliability is widely applied in many fields, such as architectural design, and mechanical engineering. In this paper, the resident and the load of a structure are defined as uncertain variables and the reliability index is defined as as the uncertain measure of the event that the resident is larger than the load. Furthermore, the reliability of series and parallel stru...

This paper presents a comparison between a fuzzy logic controller and a conventional IP controller used for speed control with a direct stator flux orientation control of a doubly fed induction motor. The effectiveness of the proposed control strategy is evaluated under different operating conditions such as of reference speed and for load torque step changes at nominal parameters and in the pr...