Performance evaluation of sequence-to-sequence-Attention model for short-term multi-step ahead building energy predictions

District heater load forecasting based on machine learning and parallel CNN-LSTM attention

(2022) Won Hee Chung et al.   ENERGY

Prediction of energy use intensity of urban buildings using the semi-supervised deep learning model

(2022) Feifeng Jiang et al.   ENERGY

Impacts of data preprocessing and selection on energy consumption prediction model of HVAC systems based on deep learning

(2022) Ziwei Xiao et al.   ENERGY AND BUILDINGS

Online remaining useful life prediction of lithium-ion batteries using bidirectional long short-term memory with attention mechanism

(2022) Fu-Kwun Wang et al.   ENERGY

A review of machine learning in building load prediction

(2021) Liang Zhang et al.   APPLIED ENERGY

Data science for building energy efficiency: A comprehensive text-mining driven review of scientific literature

(2021) Mahmoud M. Abdelrahman et al.   ENERGY AND BUILDINGS

Evolutionary double attention-based long short-term memory model for building energy prediction: Case study of a green building

(2021) Zhikun Ding et al.   APPLIED ENERGY

Quantitative evaluation of the building energy performance based on short-term energy predictions

(2021) Jiangyan Liu et al.   ENERGY

Aggregated short-term load forecasting for heterogeneous buildings using machine learning with peak estimation

(2021) Amine Bellahsen et al.   ENERGY AND BUILDINGS

Imputation of missing well log data by random forest and its uncertainty analysis

(2021) Runhai Feng et al.   COMPUTERS & GEOSCIENCES

A multi-step ahead photovoltaic power prediction model based on similar day, enhanced colliding bodies optimization, variational mode decomposition, and deep extreme learning machine

(2021) Qing Li et al.   ENERGY

State of charge estimation of lithium-ion battery using denoising autoencoder and gated recurrent unit recurrent neural network

(2021) Junxiong Chen et al.   ENERGY

Hourly energy consumption prediction of an office building based on ensemble learning and energy consumption pattern classification

(2021) Zhenxiang Dong et al.   ENERGY AND BUILDINGS

Comparison of machine-learning models for predicting short-term building heating load using operational parameters

(2021) Yong Zhou et al.   ENERGY AND BUILDINGS

Comparing deep learning models for multi energy vectors prediction on multiple types of building

(2021) Lei Gao et al.   APPLIED ENERGY

Attention-based interpretable neural network for building cooling load prediction

(2021) Ao Li et al.   APPLIED ENERGY

Status quo and opportunities for building energy prediction in limited data Context—Overview from a competition

(2021) Tong Xiao et al.   APPLIED ENERGY

An explainable one-dimensional convolutional neural networks based fault diagnosis method for building heating, ventilation and air conditioning systems

(2021) Guannan Li et al.   BUILDING AND ENVIRONMENT

Trade-off between accuracy and fairness of data-driven building and indoor environment models: A comparative study of pre-processing methods

(2021) Ying Sun et al.   ENERGY

Data-centric or algorithm-centric: Exploiting the performance of transfer learning for improving building energy predictions in data-scarce context

(2021) Cheng Fan et al.   ENERGY

Occupancy and occupant activity drivers of energy consumption in residential buildings

(2021) Saba Akbari et al.   ENERGY AND BUILDINGS

Impact of occupancy prediction models on building HVAC control system performance: Application of machine learning techniques

(2021) Mohammad Esrafilian-Najafabadi et al.   ENERGY AND BUILDINGS

Multi-stage deep learning approaches to predict boarding behaviour of bus passengers

(2021) Tianli Tang et al.   Sustainable Cities and Society

A data-driven interval forecasting model for building energy prediction using attention-based LSTM and fuzzy information granulation

(2021) Yue Li et al.   Sustainable Cities and Society

Comparing multi-step ahead building cooling load prediction using shallow machine learning and deep learning models

(2021) Raghavendra Chalapathy et al.   Sustainable Energy Grids & Networks

Impact of internet of things paradigm towards energy consumption prediction: A systematic literature review

(2021) Yew Leong Cheng et al.   Sustainable Cities and Society

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

(2020) Nivethitha Somu et al.   APPLIED ENERGY

Building thermal load prediction through shallow machine learning and deep learning

(2020) Zhe Wang et al.   APPLIED ENERGY

LSTM based long-term energy consumption prediction with periodicity

(2020) Jian Qi Wang et al.   ENERGY

Abstractive Social Media Text Summarization using Selective Reinforced Seq2Seq Attention Model

(2020) Zeyu Liang et al.   NEUROCOMPUTING

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

(2020) Tanveer Ahmad et al.   Sustainable Cities and Society

Heating load prediction based on attention long short term memory: A case study of Xingtai

(2020) Guixiang Xue et al.   ENERGY

Short-term prediction of building energy consumption employing an improved extreme gradient boosting model: A case study of an intake tower

(2020) Hongfang Lu et al.   ENERGY

In-situ sensor calibration in an operational air-handling unit coupling autoencoder and Bayesian inference

(2020) Sungmin Yoon   ENERGY AND BUILDINGS

A review of the-state-of-the-art in data-driven approaches for building energy prediction

(2020) Ying Sun et al.   ENERGY AND BUILDINGS

Sequence-to-sequence neural networks for short-term electrical load forecasting in commercial office buildings

(2020) Elliott Skomski et al.   ENERGY AND BUILDINGS

Improvement of the energy evaluation methodology of individual office building with dynamic energy grading system

(2020) Jiangyan Liu et al.   Sustainable Cities and Society

Novel deep supervised ML models with feature selection approach for large-scale utilities and buildings short and medium-term load requirement forecasts

(2020) Tanveer Ahmad et al.   ENERGY

A hybrid deep transfer learning strategy for short term cross-building energy prediction

(2020) Xi Fang et al.   ENERGY

Short-term wind power forecasting approach based on Seq2Seq model using NWP data

(2020) Yu Zhang et al.   ENERGY

Multi-step-ahead prediction of thermal load in regional energy system using deep learning method

(2020) Yakai Lu et al.   ENERGY AND BUILDINGS

Deep learning-based feature engineering methods for improved building energy prediction

(2019) Cheng Fan et al.   APPLIED ENERGY

A novel deep reinforcement learning based methodology for short-term HVAC system energy consumption prediction

(2019) Tao Liu et al.   INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID

Using long short-term memory networks to predict energy consumption of air-conditioning systems

(2019) Chonggang Zhou et al.   Sustainable Cities and Society

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

(2018) Aowabin Rahman et al.   APPLIED ENERGY

A review of data-driven approaches for prediction and classification of building energy consumption

(2018) Yixuan Wei et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

(2018) Cheng Fan et al.   APPLIED ENERGY

Probabilistic individual load forecasting using pinball loss guided LSTM

(2018) Yi Wang et al.   APPLIED ENERGY

Research on short-term and ultra-short-term cooling load prediction models for office buildings

(2017) Yan Ding et al.   ENERGY AND BUILDINGS

A review of artificial intelligence based building energy use prediction: Contrasting the capabilities of single and ensemble prediction models

(2017) Zeyu Wang et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A robust demand response control of commercial buildings for smart grid under load prediction uncertainty

(2015) Dian-ce Gao et al.   ENERGY

A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition

(2012) Souhaib Ben Taieb et al.   EXPERT SYSTEMS WITH APPLICATIONS

Multiple-output modeling for multi-step-ahead time series forecasting

(2010) Souhaib Ben Taieb et al.   NEUROCOMPUTING