首页|New Data from Kazan State Power Engineering University Illuminate Research in Ma chine Learning (Forecasting Consumer Activity Using Machine Learning Methods)

New Data from Kazan State Power Engineering University Illuminate Research in Ma chine Learning (Forecasting Consumer Activity Using Machine Learning Methods)

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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Investigators publish new report on ar tificial intelligence. According to news originating from Kazan State Power Engi neering University by NewsRx editors, the research stated, "This article discuss es forecasting consumer activity, and in particular forecasting household energy consumption using machine learning." Our news reporters obtained a quote from the research from Kazan State Power Eng ineering University: "Forecasting household energy consumption using machine lea rning is a topic that addresses various aspects of efficient and environmentally friendly use of electricity. The article discusses various machine learning met hods and models that can be applied to solve the forecasting problem. The consid eration of a neural network model such as LTSM is highlighted in a separate cate gory, its description, the learning and use process are given, as well as the ad vantages and disadvantages of this model are given."

Kazan State Power Engineering UniversityCyborgsEmerging TechnologiesMachine Learning

2024

Robotics & Machine Learning Daily News

Robotics & Machine Learning Daily News

ISSN:
年,卷(期):2024.(MAY.28)