Electrical Energy Prediction in Residential Buildings for Short-Term Horizons Using Hybrid Deep Learning Strategy

Deep Learning Assisted Buildings Energy Consumption Profiling Using Smart Meter Data

(2020) Amin Ullah et al.   SENSORS

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

LSTM based long-term energy consumption prediction with periodicity

(2020) Jian Qi Wang et al.   ENERGY

Deep-Based Conditional Probability Density Function Forecasting of Residential Loads

(2020) Mousa Afrasiabi et al.   IEEE Transactions on Smart Grid

A hybrid deep learning-based method for short-term building energy load prediction combined with an interpretation process

(2020) Chaobo Zhang et al.   ENERGY AND BUILDINGS

CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

(2020) Waseem Ullah et al.   MULTIMEDIA TOOLS AND APPLICATIONS

SD-Net: Understanding overcrowded scenes in real-time via an efficient dilated convolutional neural network

(2020) Noman Khan et al.   Journal of Real-Time Image Processing

An Efficient Deep Learning Framework for Intelligent Energy Management in IoT Networks

(2020) Tao Han et al.   IEEE Internet of Things Journal

MLT-DNet: Speech emotion recognition using 1D dilated CNN based on multi-learning trick approach

(2020) Mustaqeem et al.   EXPERT SYSTEMS WITH APPLICATIONS

Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder

(2019) Jin-Young Kim et al.   Energies

Personalized Movie Summarization Using Deep CNN-Assisted Facial Expression Recognition

(2019) Ijaz Ul Haq et al.   COMPLEXITY

GMM clustering for heating load patterns in-depth identification and prediction model accuracy improvement of district heating system

(2019) Yakai Lu et al.   ENERGY AND BUILDINGS

Short-term power load forecasting based on multi-layer bidirectional Recurrent Neural Network

(2019) Yuyan Dai et al.   IET Generation Transmission & Distribution

Energy performance of buildings with on-site energy generation and storage – An integrated assessment using dynamic simulation

(2019) Karol Bot et al.   Journal of Building Engineering

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition

(2019) Muhammad Sajjad et al.   MOBILE NETWORKS & APPLICATIONS

Joint bagged-boosted artificial neural networks: Using ensemble machine learning to improve short-term electricity load forecasting

(2019) A.S. Khwaja et al.   ELECTRIC POWER SYSTEMS RESEARCH

Cloud-Assisted Multiview Video Summarization Using CNN and Bidirectional LSTM

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

DSTP-RNN: A dual-stage two-phase attention-based recurrent neural network for long-term and multivariate time series prediction

(2019) Yeqi Liu et al.   EXPERT SYSTEMS WITH APPLICATIONS

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

(2018) Aowabin Rahman et al.   APPLIED ENERGY

Experimental study on occupants' interaction with windows and lights in Mediterranean offices during the non-heating season

(2018) Federica Naspi et al.   BUILDING AND ENVIRONMENT

Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

(2018) Tom Young et al.   IEEE Computational Intelligence Magazine

Residential electricity consumption behavior: Influencing factors, related theories and intervention strategies

(2018) Zhifeng Guo et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Short-term Load Forecasting with Deep Residual Networks

(2018) Kunjin Chen et al.   IEEE Transactions on Smart Grid

Short-term electricity load forecasting based on feature selection and Least Squares Support Vector Machines

(2018) Ailing Yang et al.   KNOWLEDGE-BASED SYSTEMS

Deterministic and probabilistic forecasting of photovoltaic power based on deep convolutional neural network

(2017) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Assessing window area and potential for electricity savings by using daylighting and hybrid ventilation in office buildings in southern Brazil

(2017) Ricardo Forgiarini Rupp et al.   SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL

A Novel Wavelet-Based Ensemble Method for Short-Term Load Forecasting with Hybrid Neural Networks and Feature Selection

(2016) Song Li et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Day-ahead load forecast using random forest and expert input selection

(2015) A. Lahouar et al.   ENERGY CONVERSION AND MANAGEMENT

Correlation and instance based feature selection for electricity load forecasting

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

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

Secondary Forecasting Based on Deviation Analysis for Short-Term Load Forecasting

(2010) Yang Wang et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Anomaly detection

(2009) Varun Chandola et al.   ACM COMPUTING SURVEYS

Short-Term Load Forecasting: Similar Day-Based Wavelet Neural Networks

(2009) Ying Chen et al.   IEEE TRANSACTIONS ON POWER SYSTEMS