Naveed Arshad

An accurate state-of-charge estimation of lithium-ion batteries based on improved particle swarm optimization-adaptive square root cubature kalman filter

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

State of health estimation of lithium-ion batteries based on equivalent circuit model and data-driven method

A new hybrid day-ahead peak load forecasting method for Iran’s National Grid

Experimental validation of a real time energy management system for microgrids in islanded mode using a local day-ahead electricity market and MINLP

Short-term load forecasting using a kernel-based support vector regression combination model

State of the Art in Research on Microgrids: A Review

Random vector functional link network for short-term electricity load demand forecasting

Smart grids, renewable energy integration, and climate change mitigation – Future electric energy systems

Review on deep learning applications in frequency analysis and control of modern power system

Machine Learning and Deep Learning in smart manufacturing: The Smart Grid paradigm

A Survey on Electric Power Demand Forecasting: Future Trends in Smart Grids, Microgrids and Smart Buildings

Microgrids: A review of technologies, key drivers, and outstanding issues

Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence

A review on time series forecasting techniques for building energy consumption

Forecasting China's electricity consumption using a new grey prediction model

A High Precision Artificial Neural Networks Model for Short-Term Energy Load Forecasting

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

Energy savings by energy management systems: A review

A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings

Artificial intelligence and machine learning approaches to energy demand-side response: A systematic review

Thermal comfort and building energy consumption implications – A review

Machine learning in state of health and remaining useful life estimation: Theoretical and technological development in battery degradation modelling

Integrating renewables economic dispatch with demand side management in micro-grids: a genetic algorithm-based approach

Forecasting for demand response in smart grids: An analysis on use of anthropologic and structural data and short term multiple loads forecasting