Real-time power prediction approach for turbine using deep learning techniques

Day-ahead short-term load probability density forecasting method with a decomposition-based quantile regression forest

(2020) Feifei He et al.   APPLIED ENERGY

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

Experimental study and modelling of the ventilation power and maximum temperature of low-pressure steam turbine last stages at low load

(2019) Antonio Mambro et al.   APPLIED ENERGY

Short-term forecasting and uncertainty analysis of wind turbine power based on long short-term memory network and Gaussian mixture model

(2019) Jinhua Zhang et al.   APPLIED ENERGY

A hybrid deep learning-based neural network for 24-h ahead wind power forecasting

(2019) Ying-Yi Hong et al.   APPLIED ENERGY

Wind turbine health state monitoring based on a Bayesian data-driven approach

(2018) Zhe Song et al.   RENEWABLE ENERGY

Day-ahead building-level load forecasts using deep learning vs. traditional time-series techniques

(2018) Mengmeng Cai et al.   APPLIED ENERGY

Performance Prediction and Optimization of Low Pressure Steam Turbine Radial Diffuser at Design and Off-Design Conditions Using Streamline Curvature Method

(2017) Luying Zhang et al.   JOURNAL OF ENGINEERING FOR GAS TURBINES AND POWER-TRANSACTIONS OF THE ASME

CFD based design of a 4.3MW Francis turbine for improved performance at design and off-design conditions

(2017) Selin Aradag et al.   Journal of Mechanical Science and Technology

Effect of increased renewables generation on operation of thermal power plants

(2016) Patrick Eser et al.   APPLIED ENERGY

Off-design performance comparison of an organic Rankine cycle under different control strategies

(2015) Dongshuai Hu et al.   APPLIED ENERGY

Operational flexibility and economics of power plants in future low-carbon power systems

(2015) Anne Sjoerd Brouwer et al.   APPLIED ENERGY

Three-dimensional off-design numerical analysis of an organic Rankine cycle radial-inflow turbine

(2014) Emilie Sauret et al.   APPLIED ENERGY

Improved analysis of Organic Rankine Cycle based on radial flow turbine

(2013) Lisheng Pan et al.   APPLIED THERMAL ENGINEERING

An Organic Rankine Cycle off-design model for the search of the optimal control strategy

(2013) Giovanni Manente et al.   ENERGY

Thermoeconomic analysis and off-design performance of an organic Rankine cycle powered by medium-temperature heat sources

(2013) Francesco Calise et al.   SOLAR ENERGY

Control of wind turbine power and vibration with a data-driven approach

(2011) Andrew Kusiak et al.   RENEWABLE ENERGY

Support Vector Machines for classification and regression

(2009) Richard G. Brereton et al.   ANALYST