An ensemble neural network model for predicting the energy utility in individual houses

Predicting residential energy consumption using CNN-LSTM neural networks

Tae Young Kim, Sung-Bae Cho · Energy · 2019 · 1.4K citations

Architecture, Building Science, Energy Management +12

Optimal Deep Learning LSTM Model for Electric Load Forecasting using Feature Selection and Genetic Algorithm: Comparison with Machine Learning Approaches †

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Computing, Electrical Engineering, Feature Engineering +16

Prediction of solar energy guided by pearson correlation using machine learning

Imane Jebli, Fatima-Zahra Belouadha, Mohammed Issam Kabbaj et al. · Energy · 2021 · 544 citations

Computing, Computer Science, Data Science +16

Comparison of China's primary energy consumption forecasting by using ARIMA (the autoregressive integrated moving average) model and GM(1,1) model

Chaoqing Yuan, Sifeng Liu, Zhigeng Fang · Energy · 2016 · 389 citations

Computing, Economics, Energy Management +13

Building Energy Consumption Prediction: An Extreme Deep Learning Approach

Chengdong Li, Zixiang Ding, Dongbin Zhao et al. · Energies · 2017 · 293 citations · Full text

Computing, Building Science, Computer Science +17