Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy

• Published in: Applied sciences Vol. 10; no. 23; p. 8634
• Main Authors: Khan, Zulfiqar Ahmad, Ullah, Amin, Ullah, Waseem, Rho, Seungmin, Lee, Miyoung, Baik, Sung Wook
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.12.2020
• Subjects: Accuracy; Artificial intelligence; bidirectional gated recurrent unit; convolutional neural networks; Datasets; Electricity; electricity consumption prediction; Electricity distribution; Energy consumption; Forecasting; hybrid deep learning model; Mean square errors; Methods; Neural networks; Power supply; residential load prediction; Sensors; United States > US

Smart grid technology based on renewable energy and energy storage systems are attracting considerable attention towards energy crises. Accurate and reliable model for electricity prediction is considered a key factor for a suitable energy management policy. Currently, electricity consumption is rap...