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Neeraj et al., 2021 - Google Patents

Long short-term memory-singular spectrum analysis-based model for electric load forecasting

Neeraj et al., 2021

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Document ID
2620711570036413198
Author
Neeraj N
Mathew J
Agarwal M
Behera R
Publication year
Publication venue
Electrical Engineering

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Snippet

Electrical load forecasting is a key player in building sustainable power systems and helps in efficient system planning. However, the irregular and noisy behavior in the observed data makes it difficult to achieve better forecasting accuracy. To handle this, we propose a new …
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06N—COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computer systems based on biological models
    • G06N3/02—Computer systems based on biological models using neural network models
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06N99/005—Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run
    • G—PHYSICS
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    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
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    • G—PHYSICS
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