Titlebook: Application of Machine Learning and Deep Learning Methods to Power System Problems; Morteza Nazari-Heris,Somayeh Asadi,Milad Sadat-Moh Boo

大猩猩

假

COUCH

Wind Speed Forecasting Using Innovative Regression Applications of Machine Learning Techniques,tion and use of wind energy worldwide. Considering the variability of wind velocity, planning, and managing wind intermittency are important parts of wind energy development, so predicting wind speeds for high-efficiency energy production is one of the most important power system planning issues. No

尊重

Effective Load Pattern Classification by Processing the Smart Meter Data Based on Event-Driven Procr serve various smart grid stakeholders. The classical sensing mechanism is known to be time-variant, which results in vast amounts of excessive data to be collected, distributed, processed, and stored. It causes an unnecessary increase of processing activity and consumption. In this context, this r

resilience

Prediction of Out-of-Step Condition for Synchronous Generators Using Decision Tree Based on the Dyn threatens the security of the power system and synchronous generators. When rotor angle instability occurs in a synchronous generator, it is capable of driving the generator O.S. If the O.S operation of a generator sustains even for a brief period of time, it may result to serious mechanical and th

愤慨一下

壮观的游行

Application of Machine Learning for Predicting User Preferences in Optimal Scheduling of Smart Applsector. Flexible appliances, whose operation can be delayed and shifted to the off-peak hours, are controlled by the home energy management system considering the scheduling constraint. Scheduling constraints such as the maximum length of the scheduling window are defined by users at the beginning o

NICE

Machine Learning Approaches in a Real Power System and Power Markets,pacts on power grid effectiveness and quality. The growth of renewable energy resources, dispersed production and growing number of interconnections, and power exchanges between electricity companies clarify the demand for regeneration in the planning, operating, and control of electric power system

ESPY

Application of Machine Learning and Deep Learning Methods to Power System Problems

反复拉紧

Power System Challenges and Issues,huge change in communication structures. Big data and neural networks, including machine learning, will be widely used, and control and monitoring systems need to be accurate online and in real time. Therefore, it is necessary to properly examine the new challenges of power networks and analyze the