Forecasting building energy consumption: Adaptive long-short term memory neural networks driven by genetic algorithm

Ambient acoustic event assistive framework for identification, detection, and recognition of unknown acoustic events of a residence

(2021) Sharnil Pandya et al.   ADVANCED ENGINEERING INFORMATICS

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

(2021) Xue-Bo Jin et al.   Energies

Sedimentary Environments and Coal Accumulation of the Middle Xishanyao Formation, Jurassic, in the Western Dananhu Coalfield, Turpan-Hami Basin

(2021) Zhiming Yan et al.   GEOFLUIDS

Multi-Objective Particle Swarm Optimization Algorithm for Multi-Step Electric Load Forecasting

(2020) Yi Yang et al.   Energies

Multi-energy load forecasting for regional integrated energy systems considering temporal dynamic and coupling characteristics

(2020) Shaomin Wang et al.   ENERGY

Improved day ahead heating demand forecasting by online correction methods

(2020) Felix Bünning et al.   ENERGY AND BUILDINGS

Towards Efficient Electricity Forecasting in Residential and Commercial Buildings: A Novel Hybrid CNN with a LSTM-AE based Framework

(2020) Zulfiqar Ahmad Khan et al.   SENSORS

Predictive maintenance using cox proportional hazard deep learning

(2020) Chong Chen et al.   ADVANCED ENGINEERING INFORMATICS

EO-MTRNN: evolutionary optimization of hyperparameters for a neuro-inspired computational model of spatiotemporal learning

(2020) Erhard Wieser et al.   BIOLOGICAL CYBERNETICS

LSTM based long-term energy consumption prediction with periodicity

(2020) Jian Qi Wang et al.   ENERGY

Deep learning-based classification of work-related physical load levels in construction

(2020) Kanghyeok Yang et al.   ADVANCED ENGINEERING INFORMATICS

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

(2020) Guixiang Xue et al.   ENERGY

A long short-term memory artificial neural network to predict daily HVAC consumption in buildings

(2020) R. Sendra-Arranz et al.   ENERGY AND BUILDINGS

Ensemble deep learning based semi-supervised soft sensor modeling method and its application on quality prediction for coal preparation process

(2020) Xianhui Yin et al.   ADVANCED ENGINEERING INFORMATICS

Fine-grained occupant activity monitoring with Wi-Fi channel state information: Practical implementation of multiple receiver settings

(2020) Hoonyong Lee et al.   ADVANCED ENGINEERING INFORMATICS

A new ensemble deep learning approach for exchange rates forecasting and trading

(2020) Shaolong Sun et al.   ADVANCED ENGINEERING INFORMATICS

A context-augmented deep learning approach for worker trajectory prediction on unstructured and dynamic construction sites

(2020) Jiannan Cai et al.   ADVANCED ENGINEERING INFORMATICS

Convolutional long short-term memory model for recognizing construction workers’ postures from wearable inertial measurement units

(2020) Junqi Zhao et al.   ADVANCED ENGINEERING INFORMATICS

Feature extraction and genetic algorithm enhanced adaptive deep neural network for energy consumption prediction in buildings

(2020) X.J. Luo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Modeling dynamic construction work template from existing scheduling records via sequential machine learning

(2020) Fouad Amer et al.   ADVANCED ENGINEERING INFORMATICS

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

(2020) Yakai Lu et al.   ENERGY AND BUILDINGS

Day-ahead prediction of plug-in loads using a long short-term memory neural network

(2020) Romana Markovic et al.   ENERGY AND BUILDINGS

A deep learning framework for building energy consumption forecast

(2020) Nivethitha Somu et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Accuracy analyses and model comparison of machine learning adopted in building energy consumption prediction

(2019) Zhijian Liu et al.   ENERGY EXPLORATION & EXPLOITATION

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

Development of integrated demand and supply side management strategy of multi-energy system for residential building application

(2019) X.J. Luo et al.   APPLIED ENERGY

Toward efficient energy systems based on natural gas consumption prediction with LSTM Recurrent Neural Networks

(2019) Oussama Laib et al.   ENERGY

A hybrid hourly natural gas demand forecasting method based on the integration of wavelet transform and enhanced Deep-RNN model

(2019) Huai Su et al.   ENERGY

Development of an IoT-based big data platform for day-ahead prediction of building heating and cooling demands

(2019) X.J. Luo et al.   ADVANCED ENGINEERING INFORMATICS

Daily natural gas consumption forecasting via the application of a novel hybrid model

(2019) Nan Wei et al.   APPLIED ENERGY

A comparative analysis of artificial neural network architectures for building energy consumption forecasting

(2019) Jihoon Moon et al.   International Journal of Distributed Sensor Networks

Times-series data augmentation and deep learning for construction equipment activity recognition

(2019) Khandakar M. Rashid et al.   ADVANCED ENGINEERING INFORMATICS

Deep learning-based extraction of construction procedural constraints from construction regulations

(2019) Botao Zhong et al.   ADVANCED ENGINEERING INFORMATICS

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

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

Short-term electricity demand forecasting with MARS, SVR and ARIMA models using aggregated demand data in Queensland, Australia

(2018) Mohanad S. Al-Musaylh et al.   ADVANCED ENGINEERING INFORMATICS

Deep-learning neural-network architectures and methods: Using component-based models in building-design energy prediction

(2018) Sundaravelpandian Singaravel et al.   ADVANCED ENGINEERING INFORMATICS

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

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Novel dynamic forecasting model for building cooling loads combining an artificial neural network and an ensemble approach

(2018) Lan Wang et al.   APPLIED ENERGY

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

(2018) Salah Bouktif et al.   Energies

A hybrid teaching-learning artificial neural network for building electrical energy consumption prediction

(2018) Kangji Li et al.   ENERGY AND BUILDINGS

Energy consumption forecasting based on Elman neural networks with evolutive optimization

(2018) L.G.B. Ruiz et al.   EXPERT SYSTEMS WITH APPLICATIONS

Neural network based optimization approach for energy demand prediction in smart grid

(2018) K. Muralitharan et al.   NEUROCOMPUTING

Deployment of data-mining short and medium-term horizon cooling load forecasting models for building energy optimization and management

(2018) Tanveer Ahmad et al.   INTERNATIONAL JOURNAL OF REFRIGERATION-REVUE INTERNATIONALE DU FROID

Incentive-based demand response for smart grid with reinforcement learning and deep neural network

(2018) Renzhi Lu et al.   APPLIED ENERGY

Building Energy Consumption Prediction: An Extreme Deep Learning Approach

(2017) Chengdong Li et al.   Energies

Development of multi-supply-multi-demand control strategy for combined cooling, heating and power system primed with solid oxide fuel cell-gas turbine

(2017) X.J. Luo et al.   ENERGY CONVERSION AND MANAGEMENT

Extended modeling procedure based on the projected sample for forecasting short-term electricity consumption

(2016) Che-Jung Chang et al.   ADVANCED ENGINEERING INFORMATICS

A data mining based load forecasting strategy for smart electrical grids

(2016) Ahmed I. Saleh et al.   ADVANCED ENGINEERING INFORMATICS

Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks

(2016) Chirag Deb et al.   ENERGY AND BUILDINGS

Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis

(2015) Kangji Li et al.   ENERGY AND BUILDINGS

Deep learning

(2015) Yann LeCun et al.   NATURE

A data-driven approach for steam load prediction in buildings

(2009) Andrew Kusiak et al.   APPLIED ENERGY