Improving the Efficiency of Multistep Short-Term Electricity Load Forecasting via R-CNN with ML-LSTM

An Efficient and Effective Deep Learning-Based Model for Real-Time Face Mask Detection

(2022) Shabana Habib et al.   SENSORS

Boosting energy harvesting via deep learning-based renewable power generation prediction

(2022) Zulfiqar Ahmad Khan et al.   JOURNAL OF KING SAUD UNIVERSITY SCIENCE

STLF-Net: Two-stream deep network for short-term load forecasting in residential buildings

(2022) Mohamed Abdel-Basset et al.   Journal of King Saud University-Computer and Information Sciences

To Assist Oncologists: An Efficient Machine Learning-Based Approach for Anti-Cancer Peptides Classification

(2022) Majed Alsanea et al.   SENSORS

An Effective Skin Cancer Classification Mechanism via Medical Vision Transformer

(2022) Suliman Aladhadh et al.   SENSORS

Intelligent dual stream CNN and echo state network for anomaly detection

(2022) Waseem Ullah et al.   KNOWLEDGE-BASED SYSTEMS

Fault Prediction Based on Leakage Current in Contaminated Insulators Using Enhanced Time Series Forecasting Models

(2022) Nemesio Fava Sopelsa Neto et al.   SENSORS

Towards efficient and effective renewable energy prediction via deep learning

(2022) Zulfiqar Ahmad Khan et al.   Energy Reports

Efficient Short-Term Electricity Load Forecasting for Effective Energy Management

(2022) Zulfiqar Ahmad Khan et al.   Sustainable Energy Technologies and Assessments

Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm

(2021) Hikmat Yar et al.   SENSORS

Atrous Convolutions and Residual GRU Based Architecture for Matching Power Demand with Supply

(2021) Samee Ullah Khan et al.   SENSORS

Deep learning-based election results prediction using Twitter activity

(2021) Haider Ali et al.   SOFT COMPUTING

Vision Sensor-Based Real-Time Fire Detection in Resource-Constrained IoT Environments

(2021) Hikmat Yar et al.   Computational Intelligence and Neuroscience

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

Deep-Based Conditional Probability Density Function Forecasting of Residential Loads

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

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

(2020) Zulfiqar Ahmad Khan et al.   Applied Sciences-Basel

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

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

3D-CNN-based feature extraction of ground-based cloud images for direct normal irradiance prediction

(2019) Xin Zhao et al.   SOLAR ENERGY

Electric Energy Consumption Prediction by Deep Learning with State Explainable Autoencoder

(2019) Jin-Young Kim et al.   Energies

Vector field-based support vector regression for building energy consumption prediction

(2019) Hai Zhong et al.   APPLIED ENERGY

Bi-directional long short-term memory method based on attention mechanism and rolling update for short-term load forecasting

(2019) Shouxiang Wang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

ESAENARX and DE-RELM: Novel Schemes for Big Data Predictive Analytics of Electricity Load and Price

(2019) Sana Mujeeb et al.   Sustainable Cities and Society

Predicting residential energy consumption using CNN-LSTM neural networks

(2019) Tae-Young Kim et al.   ENERGY

Smart grid load forecasting using online support vector regression

(2018) Petra Vrablecová et al.   COMPUTERS & ELECTRICAL ENGINEERING

Association rule mining based quantitative analysis approach of household characteristics impacts on residential electricity consumption patterns

(2018) Fei Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Short-Term Residential Load Forecasting Based on Resident Behaviour Learning

(2018) Weicong Kong et al.   IEEE TRANSACTIONS ON POWER SYSTEMS

Short-term Load Forecasting with Deep Residual Networks

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

Direct Interval Forecast of Uncertain Wind Power Based on Recurrent Neural Networks

(2018) Zhichao Shi et al.   IEEE Transactions on Sustainable Energy

A data-driven strategy for short-term electric load forecasting using dynamic mode decomposition model

(2018) Neethu Mohan et al.   APPLIED ENERGY

Improving forecasting accuracy of daily enterprise electricity consumption using a random forest based on ensemble empirical mode decomposition

(2018) Chuan Li et al.   ENERGY

Different states of multi-block based forecast engine for price and load prediction

(2018) Wei Gao et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Multivariate Ensemble Forecast Framework for Demand Prediction of Anomalous Days

(2018) Muhammad Qamar Raza et al.   IEEE Transactions on Sustainable Energy

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

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

Rough Deep Neural Architecture for Short-Term Wind Speed Forecasting

(2017) Mahdi Khodayar et al.   IEEE Transactions on Industrial Informatics

Learning Traffic as Images: A Deep Convolutional Neural Network for Large-Scale Transportation Network Speed Prediction

(2017) Xiaolei Ma et al.   SENSORS

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

A Permutation Importance-Based Feature Selection Method for Short-Term Electricity Load Forecasting Using Random Forest

(2016) Nantian Huang et al.   Energies

Support vector regression with fruit fly optimization algorithm for seasonal electricity consumption forecasting

(2016) Guohua Cao et al.   ENERGY

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

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

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

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

Energy consumption and efficiency in buildings: current status and future trends

(2015) A. Allouhi et al.   JOURNAL OF CLEANER PRODUCTION

Regression analysis for prediction of residential energy consumption

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

Using regression analysis to predict the future energy consumption of a supermarket in the UK

(2014) M.R. Braun et al.   APPLIED ENERGY

Development of an energy monitoring system for large public buildings

(2013) Liang Zhao et al.   ENERGY AND BUILDINGS

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

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

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

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

Building energy efficiency in different climates

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