AI-Assisted Hybrid Approach for Energy Management in IoT-Based Smart Microgrid

Optimized Forecasting Model to Improve the Accuracy of Very Short-Term Wind Power Prediction

(2023) Md Alamgir Hossain et al.   IEEE Transactions on Industrial Informatics

A Comprehensive Review on Ensemble Solar Power Forecasting Algorithms

(2023) Negar Rahimi et al.   Journal of Electrical Engineering & Technology

Extreme gradient boosting-inspired process optimization algorithm for manufacturing engineering applications

(2023) Seungro Lee et al.   MATERIALS & DESIGN

Solar Power Prediction Using Dual Stream CNN-LSTM Architecture

(2023) Hamad Alharkan et al.   SENSORS

A Review on Digital Twin Technology in Smart Grid, Transportation System and Smart City: Challenges and Future

(2023) Mina Jafari et al.   IEEE Access

A novel combined approach based on deep Autoencoder and deep classifiers for credit card fraud detection

(2023) Hosein Fanai et al.   EXPERT SYSTEMS WITH APPLICATIONS

Algorithmic urban planning for smart and sustainable development: Systematic review of the literature

(2023) Tim Heinrich Son et al.   Sustainable Cities and Society

Applications of artificial neural networks in microorganism image analysis: a comprehensive review from conventional multilayer perceptron to popular convolutional neural network and potential visual transformer

(2022) Jinghua Zhang et al.   ARTIFICIAL INTELLIGENCE REVIEW

Optimal operating scheme of neighborhood energy storage communities to improve power grid performance in smart cities

(2022) Fernando V. Cerna et al.   APPLIED ENERGY

Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach

(2022) Yang Li et al.   APPLIED ENERGY

A multi-factor driven spatiotemporal wind power prediction model based on ensemble deep graph attention reinforcement learning networks

(2022) Yu Chengqing et al.   ENERGY

Accurate solar PV power prediction interval method based on frequency-domain decomposition and LSTM model

(2022) Lining Wang et al.   ENERGY

Intermittent solar power hybrid forecasting system based on pattern recognition and feature extraction

(2022) Yue Yu et al.   ENERGY CONVERSION AND MANAGEMENT

Designing solar power generation output forecasting methods using time series algorithms

(2022) EunGyeong Kim et al.   ELECTRIC POWER SYSTEMS RESEARCH

A dual-scale deep learning model based on ELM-BiLSTM and improved reptile search algorithm for wind power prediction

(2022) Jinlin Xiong et al.   ENERGY

Do renewable energy sources improve clean environmental-economic growth? Empirical investigation from South Asian economies

(2021) Muhammad Khalid Anser et al.   ENERGY EXPLORATION & EXPLOITATION

A survey on deep learning methods for power load and renewable energy forecasting in smart microgrids

(2021) Sheraz Aslam et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Energy-Net: A Deep Learning Approach for Smart Energy Management in IoT-Based Smart Cities

(2021) Mohamed Abdel-Basset et al.   IEEE Internet of Things Journal

AB-Net: A Novel Deep Learning Assisted Framework for Renewable Energy Generation Forecasting

(2021) Noman Khan et al.   Mathematics

A review on renewable energy and electricity requirement forecasting models for smart grid and buildings

(2020) Tanveer Ahmad et al.   Sustainable Cities and Society

Forecasting of wave energy in Canary Islands based on Artificial Intelligence

(2020) Deivis Avila et al.   APPLIED OCEAN RESEARCH

Machine Learning Application in Reservoir Water Level Forecasting for Sustainable Hydropower Generation Strategy

(2020) Michelle Sapitang et al.   Sustainability

Machine Learning-Based Approach to Predict Energy Consumption of Renewable and Nonrenewable Power Sources

(2020) Prince Waqas Khan et al.   Energies

Novel Mode Adaptive Artificial Neural Network for Dynamic Learning: Application in Renewable Energy Sources Power Generation Prediction

(2020) Muhammad Ahsan Zamee et al.   Energies

Dynamic planning, conversion, and management strategy of different renewable energy sources: A Sustainable Solution for Severe Energy Crises in Emerging Economies

(2020) FengSheng Chien et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

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

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

Hydrogen production via biomass gasification, and modeling by supervised machine learning algorithms

(2019) Emine Elmaslar Ozbas et al.   INTERNATIONAL JOURNAL OF HYDROGEN ENERGY

A novel two-stage forecasting model based on error factor and ensemble method for multi-step wind power forecasting

(2019) Yan Hao et al.   APPLIED ENERGY

A Dual-Step Integrated Machine Learning Model for 24h-Ahead Wind Energy Generation Prediction Based on Actual Measurement Data and Environmental Factors

(2019) Yuan-Jia Ma et al.   Applied Sciences-Basel

Machine-learning methods for integrated renewable power generation: A comparative study of artificial neural networks, support vector regression, and Gaussian Process Regression

(2019) Mahdi Sharifzadeh et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A New Hybrid Approach to Forecast Wind Power for Large Scale Wind Turbine Data Using Deep Learning with TensorFlow Framework and Principal Component Analysis

(2019) Mansoor Khan et al.   Energies

One dimensional convolutional neural network architectures for wind prediction

(2019) Shubhi Harbola et al.   ENERGY CONVERSION AND MANAGEMENT

Short-term solar power forecast with deep learning: Exploring optimal input and output configuration

(2019) Yuchi Sun et al.   SOLAR ENERGY

A hybrid deep learning model for short-term PV power forecasting

(2019) Pengtao Li et al.   APPLIED ENERGY

Wind power forecasting based on daily wind speed data using machine learning algorithms

(2019) Halil Demolli et al.   ENERGY CONVERSION AND MANAGEMENT

A review of deep learning for renewable energy forecasting

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

Exploiting Deep Learning for Wind Power Forecasting Based on Big Data Analytics

(2019) Sana Mujeeb et al.   Applied Sciences-Basel

Deep Learning Models for Long-Term Solar Radiation Forecasting Considering Microgrid Installation: A Comparative Study

(2019) Muhammad Aslam et al.   Energies

Assessment of Deep Learning techniques for Prognosis of solar thermal systems

(2019) Camila Correa-Jullian et al.   RENEWABLE ENERGY

Grid-connected renewable energy sources: Review of the recent integration requirements and control methods

(2019) Ali Q. Al-Shetwi et al.   JOURNAL OF CLEANER PRODUCTION

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

(2018) Lifeng Wu et al.   ENERGY

One-day-ahead probabilistic wind speed forecast based on optimized numerical weather prediction data

(2018) Xinyu Zhao et al.   ENERGY CONVERSION AND MANAGEMENT

Drilling data from an enhanced geothermal project and its pre-processing for ROP forecasting improvement

(2018) Melvin B. Diaz et al.   GEOTHERMICS

Prediction of hourly solar radiation in Abu Musa Island using machine learning algorithms

(2018) A. Khosravi et al.   JOURNAL OF CLEANER PRODUCTION

A novel soft computing model (Gaussian process regression with K-fold cross validation) for daily and monthly solar radiation forecasting (Part: I)

(2018) Abbas Rohani et al.   RENEWABLE ENERGY

A Model Combining Stacked Auto Encoder and Back Propagation Algorithm for Short-Term Wind Power Forecasting

(2018) Runhai Jiao et al.   IEEE Access

Robust functional regression for wind speed forecasting based on Sparse Bayesian learning

(2018) Yun Wang et al.   RENEWABLE ENERGY

Generative adversarial networks and convolutional neural networks based weather classification model for day ahead short-term photovoltaic power forecasting

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

The dynamic relationship of renewable and nonrenewable energy consumption with carbon emission: A global study with the application of heterogeneous panel estimations

(2018) Arshian Sharif et al.   RENEWABLE ENERGY

Assessing energy forecasting inaccuracy by simultaneously considering temporal and absolute errors

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

A Combined Prognostic Model Based on Machine Learning for Tidal Current Prediction

(2017) Abdollah Kavousi-Fard et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

An Accurate Method for MPPT to Detect the Partial Shading Occurrence in a PV System

(2017) Jubaer Ahmed et al.   IEEE Transactions on Industrial Informatics

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

Review of the use of Numerical Weather Prediction (NWP) Models for wind energy assessment

(2010) Sultan Al-Yahyai et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS