Deep belief network based ensemble approach for cooling load forecasting of air-conditioning system

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Forecasting diurnal cooling energy load for institutional buildings using Artificial Neural Networks

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Predictive Deep Boltzmann Machine for Multiperiod Wind Speed Forecasting

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A Hybrid Intelligent Model for Deterministic and Quantile Regression Approach for Probabilistic Wind Power Forecasting

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Intelligent and robust prediction of short term wind power using genetic programming based ensemble of neural networks

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Building hourly thermal load prediction using an indexed ARX model

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Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia

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Cooling-load prediction by the combination of rough set theory and an artificial neural-network based on data-fusion technique

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Wind Power Forecasting Using Neural Network Ensembles With Feature Selection

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Effect of input variables on cooling load prediction accuracy of an office building

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Research on short-term and ultra-short-term cooling load prediction models for office buildings

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Improving short term load forecast accuracy via combining sister forecasts

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An improved office building cooling load prediction model based on multivariable linear regression

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Application of a hybrid quantized Elman neural network in short-term load forecasting

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Hourly cooling load forecasting using time-indexed ARX models with two-stage weighted least squares regression

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Estimating hourly cooling load in commercial buildings using a thermal network model and electricity submetering data

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Hourly cooling load prediction by a combined forecasting model based on Analytic Hierarchy Process

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Residential air-conditioner usage in China and efficiency standardization

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Robust Planning of Electric Vehicle Charging Facilities With an Advanced Evaluation Method

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Deep Learning Framework with Confused Sub-Set Resolution Architecture for Automatic Arabic Diacritization

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Electric load forecasting for large office building based on radial basis function neural network

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GPNBI-inspired MOSFA for Pareto operation optimization of integrated energy system

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An evolutionary artificial neural network ensemble model for estimating hourly direct normal irradiances from meteosat imagery

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Experimental and numerical investigations of the energy efficiency of conventional air conditioning systems in cooling mode and comfort assurance in office buildings

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Prediction model of Cooling Load considering time-lag for preemptive action in buildings

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Cooling load forecasting for chiller plants using similar day based wavelet neural networks

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Development of a General Package for Resolution of Uncertainty-Related Issues in Reservoir Engineering

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A review of deep learning for renewable energy forecasting

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State of the Art of Machine Learning Models in Energy Systems, a Systematic Review

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

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Forecasting Renewable Energy Generation with Machine Learning and Deep Learning: Current Advances and Future Prospects

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Building energy performance forecasting: A multiple linear regression approach

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A Short-Term Building Load Prediction Method Based on Modal Decomposition and Deep Learning

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SPEHDSTCN: A statistical prior error-corrected heterogeneous depthwise separable temporal convolutional network for building air-conditioning cooling load forecasting

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TFDiFormer: A Hybrid Deep Learning Model for Airport Terminal Cooling Load ForecastingPreprint

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A novel deep-learning framework for short-term prediction of cooling load in public buildings

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Optimal load demand forecasting in air conditioning using deep belief networks optimized by an improved version of snake optimization algorithm

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