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

Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data

(2020) Amin Ullah et al.   SENSORS

Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder

(2019) Jin-Young Kim et al.   Energies

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Improving Electric Energy Consumption Prediction Using CNN and Bi-LSTM

(2019) Tuong Le et al.   Applied Sciences-Basel

Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM

(2019) Tanveer Hussain et al.   IEEE Transactions on Industrial Informatics

Automated diagnosis of arrhythmia using combination of CNN and LSTM techniques with variable length heart beats

(2018) Shu Lih Oh et al.   COMPUTERS IN BIOLOGY AND MEDICINE

Ship Detection in Gaofen-3 SAR Images Based on Sea Clutter Distribution Analysis and Deep Convolutional Neural Network

(2018) Quanzhi An et al.   SENSORS

Enhancing the Efficiency of Massive Online Learning by Integrating Intelligent Analysis into MOOCs with an Application to Education of Sustainability

(2018) Chao Li et al.   Sustainability

Variety Identification of Single Rice Seed Using Hyperspectral Imaging Combined with Convolutional Neural Network

(2018) Zhengjun Qiu et al.   Applied Sciences-Basel

Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

(2018) Amin Ullah et al.   IEEE Access

Building Energy Consumption Prediction: An Extreme Deep Learning Approach

(2017) Chengdong Li et al.   Energies

Artificial neural networks to predict energy performance and retrofit scenarios for any member of a building category: A novel approach

(2017) Fabrizio Ascione et al.   ENERGY

Comparative assessment of low-complexity models to predict electricity consumption in an institutional building: Linear regression vs. fuzzy modeling vs. neural networks

(2017) Henrique Pombeiro et al.   ENERGY AND BUILDINGS

A relevant data selection method for energy consumption prediction of low energy building based on support vector machine

(2017) Subodh Paudel et al.   ENERGY AND BUILDINGS

A review on time series forecasting techniques for building energy consumption

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

Deep Learning for Household Load Forecasting – A Novel Pooling Deep RNN

(2017) Heng Shi et al.   IEEE Transactions on Smart Grid

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

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

Energy consumption prediction using people dynamics derived from cellular network data

(2016) Andrey Bogomolov et al.   EPJ Data Science

A variance inflation factor and backward elimination based robust regression model for forecasting monthly electricity demand using climatic variables

(2015) D.H. Vu et al.   APPLIED ENERGY

Electricity consumption forecasting models for administration buildings of the UK higher education sector

(2015) K.P. Amber et al.   ENERGY AND BUILDINGS

A global review of energy consumption, CO 2 emissions and policy in the residential sector (with an overview of the top ten CO 2 emitting countries)

(2015) Payam Nejat et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Regression analysis for prediction of residential energy consumption

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