Titlebook: Design and Analysis of Distributed Energy Management Systems; Integration of EMS, Tatsuya Suzuki,Shinkichi Inagaki,Anh Tuan Tran Book 2020

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Design and Analysis of Distributed Energy Management SystemsIntegration of EMS,

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Activity-Based Modeling for Integration of Energy Systems for House and Electric Vehicled energy consumption are determined based on simulated occupancy and activity. To model transport energy demand, out-of-home activity is modeled as trips considering travel time, duration, destination, and mode (e.g., car, walk, and train). Energy consumption derived from the trip is then quantified

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Real-Time Pricing and Decentralized Optimization Strategy for Power Flow Balancing in EV/PHV Storages. This conforms to the EV storage management problem, since unpredictable connections or disconnections of the vehicles may occur. The effectiveness of the proposed pricing-based decentralized management strategy is evaluated by numerical experiments.

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Machine Learning Based Intrusion Detection in Control System Communicatione control system communication without sequence patterns. In the first part, we compare supervised machine learning based intrusion detection methods with unsupervised machine learning based intrusion detection methods. The supervised learning are C4.5 and support vector machine. And the unsupervise

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Activity-Based Modeling for Integration of Energy Systems for House and Electric Vehicleimulated and home and transport energy demands are quantified accordingly. This method enables quantification of energy demand with realistic temporal variation. An important application of this method is the analysis of an energy management system that integrates a home and an electric vehicle, whi

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Probabilistic Model and Prediction of Vehicle Daily Useen their high capacity batteries. To utilize the in-vehicle battery in an EMS, considering the acceptance by the users, the EMS should be able to identify when the vehicle is being driven and when it is parked, which represents the profile of departure and travel time. This chapter presents a method

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Design of a Home Energy Management System Integrated with an Electric Vehicle (V2H+?HPWH EMS) electric vehicle (EV) and the operation plan for a heat pump water heater (HPWH). We propose a model predictive control method, which iteratively calculates the plan of charging and discharging of the in-vehicle battery and the operation schedule of the HPWH, to minimize the electricity bill with c