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Power electronic converters and electric motor drives in advanced automotive systems, when they are tightly regulated, behave as constant power loads (CPLs) at the input terminals and usually cause negative impedance instability problems. Especially in a DC microgrid system with multiple parallel-connected buck converters, which is loaded by CPLs, the improper parameter settings of the buck converters...
Buildings account for nearly 40% of the total energy consumption in the United States, about half of which is used by the HVAC (heating, ventilation, and air conditioning) system. Intelligent scheduling of building HVAC systems has the potential to significantly reduce the energy cost. However, the traditional rule-based and model-based strategies are often inefficient in practice, due to the complexity...
Optimization methods can be mainly divided into two categories: deterministic and heuristic methods. Traditional loaded antenna optimization technique is used heuristic methods. Space mapping (SM) was introduced by J. W. Bandler as a surrogate-based optimization technique It converts the complex and time-consuming optimization of the fine model into a simple and efficient optimization of the coarse...
Buildings account for nearly 40% of energy consumption in the United States. To improve energy efficiency and reduce peak demand, intelligent building management systems can be developed to manage the energy consumption of flexible loads such as heating, ventilation, and air conditioning (HVAC) system an electric vehicle (EV) charging, as well as the usage of energy storage systems such as batteries...
The majority of datacenters are within mixed-use facilities, where they often share some common infrastructures and energy supplies with other operations (e.g., non-IT offices and labs). In such mixed-use buildings, two major energy loads are datacenter IT equipment and HVAC (heating, ventilating, and air conditioning) system. The HVAC demand comes from both datacenter rooms and other non-IT rooms...
Next-generation autonomous and semi-autonomous vehicles will not only precept the environment with their own sensors, but also communicate with other vehicles and surrounding infrastructures for vehicle safety and transportation efficiency. The design, analysis and validation of various vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) applications involve multiple layers, from V2V/V2I...
Building stock consumes 40% of primary energy consumption in the United States. Among various types of energy loads in buildings, HVAC (heating, ventilation, and air conditioning) and EV (electric vehicle) charging are two of the most important ones and have distinct characteristics. HVAC system accounts for 50% of the building energy consumption and typically operates throughout the day, while EV...
Due to the highly non-linear properties of the longitudinal dynamics of autonomous land vehicles (ALVs), it is difficult to tune the parameters of a speed controller for the autonomous driving of ALVs. Aiming at this problem, in this paper, a novel learning-Based speed controller is proposed, which is composed of a time-varying proportional-integral (PI) control structure and a learning-Based learning...
Traffic flow data are in the form of spatial time series and are collected at specific locations at constant intervals of time. Space-time autoregressive time series modeling is a promising inductive method that uses a small number of parameters and can be used for online monitoring and prediction. In this paper, we develop space-time autoregressive models for urban traffic flow network scenarios...
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