Office building energy consumption forecast: Adaptive long short term memory networks driven by improved beluga whale optimization algorithm

Author:

Feng Zengxi,An Jianhu,Han Mingyue,Ji Xiuming,Zhang Xian,Wang Chang,Liu Xuefeng,Kang Limin

Publisher

Elsevier BV

Reference36 articles.

1. A review of data-driven approaches for prediction and classification of building energy consumption,;Wei;Renew. Sustain. Energy Rev.,2018

2. A review of data-driven building energy consumption prediction studies,;Amasyali;Renew. Sustain. Energy Rev.,2018

3. Research Progress on Deep Learning-All Databases, (n.d.). https://www.webofscience.com/wos/alldb/full-record/CSCD:5427886 (accessed September 6, 2023).

4. Random search for hyper-parameter optimization;Bergstra;J. Mach. Learn. Res.,2012

5. Assessment of deep recurrent neural network-based strategies for short-term building energy predictions;Fan;Appl. Energy,2019

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