Universities power energy management: A novel hybrid model based on iCEEMDAN and Bayesian optimized LSTM

Deep-Learning Forecasting Method for Electric Power Load via Attention-Based Encoder-Decoder with Bayesian Optimization

(2021) Xue-Bo Jin et al.   Energies

Short-Term Electric Load Forecasting Based on Variational Mode Decomposition and Grey Wolf Optimization

(2021) Mengran Zhou et al.   Energies

A decomposition-ensemble model with regrouping method and attention-based gated recurrent unit network for energy price prediction

(2021) Hongli Niu et al.   ENERGY

A hybrid model for building energy consumption forecasting using long short term memory networks

(2020) Nivethitha Somu et al.   APPLIED ENERGY

LSTM based long-term energy consumption prediction with periodicity

(2020) Jian Qi Wang et al.   ENERGY

Predicting energy consumption in multiple buildings using machine learning for improving energy efficiency and sustainability

(2020) Anh-Duc Pham et al.   JOURNAL OF CLEANER PRODUCTION

A Novel Combined Model for Short-Term Electric Load Forecasting Based on Whale Optimization Algorithm

(2020) Zhihao Shang et al.   NEURAL PROCESSING LETTERS

A novel hybrid model based on combined preprocessing method and advanced optimization algorithm for power load forecasting

(2020) Ying Nie et al.   APPLIED SOFT COMPUTING

Short-term wind speed forecasting using recurrent neural networks with error correction

(2020) Jikai Duan et al.   ENERGY

A Novel Hybrid Short-Term Load Forecasting Method of Smart Grid Using MLR and LSTM Neural Network

(2020) Jian Li et al.   IEEE Transactions on Industrial Informatics

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

A hybrid short-term load forecasting model based on variational mode decomposition and long short-term memory networks considering relevant factors with Bayesian optimization algorithm

(2019) Feifei He et al.   APPLIED ENERGY

A New Hybrid Approach for Short-Term Electric Load Forecasting Applying Support Vector Machine with Ensemble Empirical Mode Decomposition and Whale Optimization

(2019) Liu et al.   Energies

State-of-charge estimation of lithium-ion batteries based on gated recurrent neural network

(2019) Fangfang Yang et al.   ENERGY

Empirical mode decomposition based hybrid ensemble model for electrical energy consumption forecasting of the cement grinding process

(2019) Zhao Liu et al.   MEASUREMENT

A deep learning based multitask model for network-wide traffic speed predication

(2019) Kunpeng Zhang et al.   NEUROCOMPUTING

Analysis of hourly cooling load prediction accuracy with data-mining approaches on different training time scales

(2019) Chengliang Fan et al.   Sustainable Cities and Society

Linear Non-Causal Optimal Control of an Attenuator Type Wave Energy Converter M4

(2019) Zhijing Liao et al.   IEEE Transactions on Sustainable Energy

Predicting electricity consumption for commercial and residential buildings using deep recurrent neural networks

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Electricity Price Forecasting Using Recurrent Neural Networks

(2018) Umut Ugurlu et al.   Energies

A deep learning model for short-term power load and probability density forecasting

(2018) Zhifeng Guo et al.   ENERGY

Short term electricity load forecasting using a hybrid model

(2018) Jinliang Zhang et al.   ENERGY

Random Forest based hourly building energy prediction

(2018) Zeyu Wang et al.   ENERGY AND BUILDINGS

A review of data-driven building energy consumption prediction studies

(2018) Kadir Amasyali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Research and application of a novel hybrid air quality early-warning system: A case study in China

(2018) Chen Li et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Empirical Mode Decomposition Based Deep Learning for Electricity Demand Forecasting

(2018) Jatin Bedi et al.   IEEE Access

Short term load forecasting based on feature extraction and improved general regression neural network model

(2018) Yi Liang et al.   ENERGY

Assessment of deep recurrent neural network-based strategies for short-term building energy predictions

(2018) Cheng Fan et al.   APPLIED ENERGY

Forecasting of Chinese Primary Energy Consumption in 2021 with GRU Artificial Neural Network

(2017) Bingchun Liu et al.   Energies

Short-Term Load Forecasting Using EMD-LSTM Neural Networks with a Xgboost Algorithm for Feature Importance Evaluation

(2017) Huiting Zheng et al.   Energies

A review on time series forecasting techniques for building energy consumption

(2017) Chirag Deb et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Online Denoising Based on the Second-Order Adaptive Statistics Model

(2017) Sheng-Lun Yi et al.   SENSORS

Short-Term Residential Load Forecasting based on LSTM Recurrent Neural Network

(2017) Weicong Kong et al.   IEEE Transactions on Smart Grid

Electric Load Forecasting Based on a Least Squares Support Vector Machine with Fuzzy Time Series and Global Harmony Search Algorithm

(2016) Yan Chen et al.   Energies

Application of ARIMA for forecasting energy consumption and GHG emission: A case study of an Indian pig iron manufacturing organization

(2016) Parag Sen et al.   ENERGY

Taking the Human Out of the Loop: A Review of Bayesian Optimization

(2016) Bobak Shahriari et al.   PROCEEDINGS OF THE IEEE

Correlation and instance based feature selection for electricity load forecasting

(2015) Irena Koprinska et al.   KNOWLEDGE-BASED SYSTEMS

Regression analysis for prediction of residential energy consumption

(2015) Nelson Fumo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Improved complete ensemble EMD: A suitable tool for biomedical signal processing

(2014) Marcelo A. Colominas et al.   Biomedical Signal Processing and Control

Variational Mode Decomposition

(2014) Konstantin Dragomiretskiy et al.   IEEE TRANSACTIONS ON SIGNAL PROCESSING

A review on applications of ANN and SVM for building electrical energy consumption forecasting

(2014) A.S. Ahmad et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A review on the prediction of building energy consumption

(2012) Hai-xiang Zhao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A decision tree method for building energy demand modeling

(2010) Zhun Yu et al.   ENERGY AND BUILDINGS

Building energy efficiency in different climates

(2008) Joseph C. Lam et al.   ENERGY CONVERSION AND MANAGEMENT

Analysis of annual heating and cooling energy requirements for office buildings in different climates in Turkey

(2007) Nurdil Eskin et al.   ENERGY AND BUILDINGS

History and development of validation with the ESP-r simulation program

(2006) P.A. Strachan et al.   BUILDING AND ENVIRONMENT