Hasmat Malik

Deep learning algorithms for rotating machinery intelligent diagnosis: An open source benchmark study

Deep transfer network with joint distribution adaptation: A new intelligent fault diagnosis framework for industry application

A review on machine learning forecasting growth trends and their real-time applications in different energy systems

Environmental impact of renewable energy source based electrical power plants: Solar, wind, hydroelectric, biomass, geothermal, tidal, ocean, and osmotic

Convolutional Discriminative Feature Learning for Induction Motor Fault Diagnosis

Deep Residual Shrinkage Networks for Fault Diagnosis

A new bearing fault diagnosis method based on modified convolutional neural networks

A comprehensive review of big data analytics throughout product lifecycle to support sustainable smart manufacturing: A framework, challenges and future research directions

A Novel Hybrid Model for Wind Speed Prediction Based on VMD and Neural Network Considering Atmospheric Uncertainties

An intelligent fault diagnosis approach based on transfer learning from laboratory bearings to locomotive bearings

A novel hybrid decision making approach for the strategic selection of wind energy projects

A Combined Fault Diagnosis Method for Power Transformer in Big Data Environment

A Review on Representative Swarm Intelligence Algorithms for Solving Optimization Problems: Applications and Trends

Investigation of feasibility study of solar farms deployment using hybrid AHP-TOPSIS analysis: Case study of India

Short-term wind speed prediction model based on GA-ANN improved by VMD

Prediction of wind speed and wind direction using artificial neural network, support vector regression and adaptive neuro-fuzzy inference system

Machine learning methods for solar radiation forecasting: A review

Deep learning and its applications to machine health monitoring

Methods for Advanced Wind Turbine Condition Monitoring and Early Diagnosis: A Literature Review

Deep normalized convolutional neural network for imbalanced fault classification of machinery and its understanding via visualization

Estimation of renewable energy and built environment-related variables using neural networks – A review

Applications of machine learning to machine fault diagnosis: A review and roadmap

Smart healthcare and quality of service in IoT using grey filter convolutional based cyber physical system

Solar energy prediction using linear and non-linear regularization models: A study on AMS (American Meteorological Society) 2013–14 Solar Energy Prediction Contest

Use of hybrid MCDM methods for site location of solar-powered hydrogen production plants in Uzbekistan

A review of applications of artificial intelligent algorithms in wind farms

An Enhanced Intelligent Diagnosis Method Based on Multi-Sensor Image Fusion via Improved Deep Learning Network

Generalized Regression Neural Network Based Wind Speed Prediction Model for Western Region of India

Proximal Support Vector Machine (PSVM) Based Imbalance Fault Diagnosis of Wind Turbine Using Generator Current Signals

External Fault Classification Experienced by Three-Phase Induction Motor Based on Multi-Class ELM

Selection of most relevant input parameters using WEKA for artificial neural network based solar radiation prediction models

Application of rapid miner in ANN based prediction of solar radiation for assessment of solar energy resource potential of 76 sites in Northwestern India

Artificial neural network and empirical mode decomposition based imbalance fault diagnosis of wind turbine using TurbSim, FAST and Simulink

Application of neuro-fuzzy scheme to investigate the winding insulation paper deterioration in oil-immersed power transformer

Application of Probabilistic Neural Network in Fault Diagnosis of Wind Turbine Using FAST, TurbSim and Simulink