A Comprehensive Deep Learning Method for Short-Term Load Forecasting

Sayadlou, Mohammad; Naderi, Mahdi; Abedi, Mehrdad; Esmaeili, Sajjad; Amini, Mohammad

doi:10.1109/icee55646.2022.9827325

Cited by 1 publication

(1 citation statement)

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“…That is, when the two different blackout plans 0 r and 1 r meet at least one of the following logical rules, the two plans are considered to have the same stopping relationship and should be arranged at the same time outage: (1) the same equipment for the blackout of different plans should be arranged at the same time outage; (2) the equipment and its connected switches should be arranged at the same time outage; (3) the main transformer and its connected low-voltage side of the bus should be arranged at the same time outage; (4) buses and their connected loads should be arranged at the same time outage; (5) the line directly connected to the main transformer should be arranged at the same time outage [12][13][14].…”

Section: Research On the Intelligent Coordination Methods Based On Ex...mentioning

confidence: 99%

Intelligent scheduling model of main grid outage plan based on multiple indicator constraints

Zhang,

Huang,

et al. 2024

J. Phys.: Conf. Ser.

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This paper proposes an intelligent scheduling method based on expert knowledge and preference filtering to address the key issues in the grid outage plan scheduling business. By combing, reconstructing, and function disassembling the manual scheduling process of the monthly outage plan, this paper proposes the initial scheduling, coordinated adjustment, rolling scheduling, and conflict retrospective process of the monthly outage plan. It conducts research on the difficult problems existing in the process. For the difficult problem of decoupling the plan adjustment and scheduling-solving process, this paper proposes an expert knowledge-based method, including knowledge graph-based plan association relationship discrimination and supervised learning-based plan prioritization. Finally, this paper carries out the system framework design, service design, database, and data structure design for the proposed intelligent scheduling method. It verifies the effectiveness of the proposed method through case tests in real power grids.

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