MULTI-REGIONAL INTEGRATED ENERGY ECONOMIC DISPATCH CONSIDERING RENEWABLE ENERGY UNCERTAINTY AND ELECTRIC VEHICLE CHARGING DEMAND BASED ON DYNAMIC ROBUST OPTIMIZATION

Multi-Regional Integrated Energy Economic Dispatch Considering Renewable Energy Uncertainty and Electric Vehicle Charging Demand Based on Dynamic Robust Optimization

Aiming at the problem of source-load uncertainty caused by the increasing penetration of renewable energy Tools and the large-scale integration of electric vehicles (EVs) into modern power system, a robust optimal operation scheduling algorithm for regional integrated energy systems (RIESs) with such uncertain situations is urgently needed.Based on

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Integrating Passive Energy Efficient Measures to the Building Envelope of a Multi-Apartment Building in Sweden: Analysis of Final Energy Savings and Cost Effectiveness

A major challenge in building energy renovation is to cost effectively achieve notable energy savings.This paper investigates cost-effective passive energy-efficiency measures for thermal envelope retrofit of a typical Swedish multi-apartment building from the 1970s.Here, the use of different types of insulation materials for the retrofits of roof,

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Enhancing Anomaly Detection Models for Industrial Applications through SVM-Based False Positive Classification

Unsupervised anomaly detection models are crucial for the efficiency of industrial applications.However, Baby Gift Set frequent false alarms hinder the widespread adoption of unsupervised anomaly detection, especially in fault detection tasks.To this end, our research delves into the dependence of false alarms on the baseline anomaly detector by an

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