Solar Power Prediction Using Dual Stream CNN-LSTM Architecture

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

An Adaptive Hybrid Control of Grid Tied Inverter for the Reduction of Total Harmonic Distortion and Improvement of Robustness against Grid Impedance Variation

(2022) Tila Muhammad et al.   Energies

Faults Feature Extraction Using Discrete Wavelet Transform and Artificial Neural Network for Induction Motor Availability Monitoring—Internet of Things Enabled Environment

(2022) Muhammad Zuhaib et al.   Energies

Randomly Initialized CNN with Densely Connected Stacked Autoencoder for Efficient Fire Detection

(2022) Zulfiqar Ahmad Khan et al.   ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Intelligent dual stream CNN and echo state network for anomaly detection

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

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

(2022) Mohammed F. Alsharekh et al.   SENSORS

An Overview of the Current Challenges, Trends, and Protocols in the Field of Vehicular Communication

(2022) Waleed Albattah et al.   Electronics

Towards efficient and effective renewable energy prediction via deep learning

(2022) Zulfiqar Ahmad Khan et al.   Energy Reports

Design and Implementation: An IoT-Framework-Based Automated Wastewater Irrigation System

(2022) Shabana Habib et al.   Electronics

An Efficient Lightweight Hybrid Model with Attention Mechanism for Enhancer Sequence Recognition

(2022) Suliman Aladhadh et al.   Biomolecules

Smart and intelligent energy monitoring systems: A comprehensive literature survey and future research guidelines

(2021) Tanveer Hussain et al.   INTERNATIONAL JOURNAL OF ENERGY RESEARCH

An Efficient Anomaly Recognition Framework Using an Attention Residual LSTM in Surveillance Videos

(2021) Waseem Ullah et al.   SENSORS

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

(2021) Hikmat Yar et al.   SENSORS

Multi-Meteorological-Factor-Based Graph Modeling for Photovoltaic Power Forecasting

(2021) Lilin Cheng et al.   IEEE Transactions on Sustainable Energy

Crowd Counting Using End-to-End Semantic Image Segmentation

(2021) Khalil Khan et al.   Electronics

SolarNet: A hybrid reliable model based on convolutional neural network and variational mode decomposition for hourly photovoltaic power forecasting

(2021) Deniz Korkmaz   APPLIED ENERGY

Day-ahead hourly photovoltaic power forecasting using attention-based CNN-LSTM neural network embedded with multiple relevant and target variables prediction pattern

(2021) Jiaqi Qu et al.   ENERGY

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

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

Condition monitoring and performance forecasting of wind turbines based on denoising autoencoder and novel convolutional neural networks

(2021) Xiongjie Jia et al.   Energy Reports

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

Very-Short-Term Power Prediction for PV Power Plants Using a Simple and Effective RCC-LSTM Model Based on Short Term Multivariate Historical Datasets

(2020) Biaowei Chen et al.   Electronics

Prediction of photovoltaic power output based on similar day analysis, genetic algorithm and extreme learning machine

(2020) Yi Zhou et al.   ENERGY

A deep learning-based forecasting model for renewable energy scenarios to guide sustainable energy policy: A case study of Korea

(2020) KiJeon Nam et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

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

Significant wave height forecasting via an extreme learning machine model integrated with improved complete ensemble empirical mode decomposition

(2019) Mumtaz Ali et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

On post-processing day-ahead NWP forecasts using Kalman filtering

(2019) Dazhi Yang   SOLAR ENERGY

Recurrent inception convolution neural network for multi short-term load forecasting

(2019) Junhong Kim et al.   ENERGY AND BUILDINGS

Renewable energy prediction: A novel short-term prediction model of photovoltaic output power

(2019) Ling-Ling Li et al.   JOURNAL OF CLEANER PRODUCTION

A comparison of day-ahead photovoltaic power forecasting models based on deep learning neural network

(2019) Kejun Wang et al.   APPLIED ENERGY

A review of deep learning for renewable energy forecasting

(2019) Huaizhi Wang et al.   ENERGY CONVERSION AND MANAGEMENT

Photovoltaic power forecasting based LSTM-Convolutional Network

(2019) Kejun Wang et al.   ENERGY

A novel convolutional neural network framework based solar irradiance prediction method

(2019) Na Dong et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Day-ahead photovoltaic power forecasting approach based on deep convolutional neural networks and meta learning

(2019) Haixiang Zang et al.   INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Using a novel multi-variable grey model to forecast the electricity consumption of Shandong Province in China

(2018) Lifeng Wu et al.   ENERGY

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

A new method based on Type-2 fuzzy neural network for accurate wind power forecasting under uncertain data

(2018) Amir Sharifian et al.   RENEWABLE ENERGY

Wavelet Decomposition and Convolutional LSTM Networks Based Improved Deep Learning Model for Solar Irradiance Forecasting

(2018) Fei Wang et al.   Applied Sciences-Basel

A novel system based on neural networks with linear combination framework for wind speed forecasting

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

Assessing energy forecasting inaccuracy by simultaneously considering temporal and absolute errors

(2017) Laura Frías-Paredes et al.   ENERGY CONVERSION AND MANAGEMENT

The unstudied barriers to widespread renewable energy deployment: Fossil fuel price responses

(2017) Edward Foster et al.   ENERGY POLICY

Accurate photovoltaic power forecasting models using deep LSTM-RNN

(2017) Mohamed Abdel-Nasser et al.   NEURAL COMPUTING & APPLICATIONS

Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review

(2017) Mohammad Azhar Mat Daut et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A wavelet-coupled support vector machine model for forecasting global incident solar radiation using limited meteorological dataset

(2016) Ravinesh C. Deo et al.   APPLIED ENERGY

Recursive wind speed forecasting based on Hammerstein Auto-Regressive model

(2015) Othman Ait Maatallah et al.   APPLIED ENERGY

A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China

(2015) Yun Wang et al.   ENERGY