Enhancing non-intrusive load monitoring with channel attention guided bi-directional temporal convolutional network for sequence-to-point learning

L.N. Sastry Varanasi; Sri Phani Krishna Karri

doi:10.1016/j.epsr.2023.110088

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Enhancing non-intrusive load monitoring with channel attention guided bi-directional temporal convolutional network for sequence-to-point learning

L.N. Sastry Varanasi Sri Phani Krishna Karri

Year: 2023 Journal: Electric Power Systems Research Vol: 228 Pages: 110088-110088 Publisher: Elsevier BV

DOI: 10.1016/j.epsr.2023.110088

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Keywords:

Sequence (biology) Point (geometry) Computer science Channel (broadcasting) Artificial intelligence Convolutional neural network Real-time computing Speech recognition Pattern recognition (psychology) Computer network Mathematics Biology

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Smart Grid Energy Management

Physical Sciences → Engineering → Electrical and Electronic Engineering

Smart Grid Security and Resilience

Physical Sciences → Engineering → Control and Systems Engineering

Energy Load and Power Forecasting

Physical Sciences → Engineering → Electrical and Electronic Engineering

Enhancing non-intrusive load monitoring with channel attention guided bi-directional temporal convolutional network for sequence-to-point learning

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