Question

Survey and time-series data belong to​

Answer 1

Answer:

hi

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Answer 2

Answer:

... There are several approaches for load forecasting presented in literature, [1,18,[25][26][27]. Load forecasting techniques are divided into two main groups: Statistically based and artificial intelligence based methods. ...

... The following methods belong to this group: Artificial neural networks (ANN), Expert systems, Fuzzy logics systems, Support Vector Machines, Ant Colony, and Particle Swarm Optimization. All these methods are generally based on learning process using historical data for estimation of current one [1,[25][26][27][28]. ...

... Depending on the planning horizon, there is short term (for units scheduling), middle term (for fuel type scheduling) and long term forecasting (for long-term system development and expansion) [18], [27]. Other references differentiate four instead of three types of load forecasting: very short (1-7 days ahead), short (1-4 weeks), medium-term (1-12 months), long term (1-20 years) [1]. ..

Explanation:

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