Short-Term Energy Demand Forecast in Hotels Using Hybrid Intelligent Modeling

Fuel Cell Output Current Prediction with a Hybrid Intelligent System

(2019) José-Luis Casteleiro-Roca et al.   COMPLEXITY

Deep learning framework to forecast electricity demand

(2019) Jatin Bedi et al.   APPLIED ENERGY

A Novel Fuzzy Algorithm to Introduce New Variables in the Drug Supply Decision-Making Process in Medicine

(2018) Jose M. Gonzalez-Cava et al.   COMPLEXITY

Model Predictive Control (MPC) for Enhancing Building and HVAC System Energy Efficiency: Problem Formulation, Applications and Opportunities

(2018) Gianluca Serale et al.   Energies

Deep learning to predict the generation of a wind farm

(2018) J. M. Torres et al.   Journal of Renewable and Sustainable Energy

Neural network based optimization approach for energy demand prediction in smart grid

(2018) K. Muralitharan et al.   NEUROCOMPUTING

Intelligent smart home energy efficiency model using artificial TensorFlow engine

(2018) Hana Jo et al.   Human-centric Computing and Information Sciences

Modelling the hypnotic patient response in general anaesthesia using intelligent models

(2018) Esteban Jove et al.   LOGIC JOURNAL OF THE IGPL

Deep Highway Networks and Tree-Based Ensemble for Predicting Short-Term Building Energy Consumption

(2018) Muhammad Ahmad et al.   Energies

A review of the decomposition methodology for extracting and identifying the fluctuation characteristics in electricity demand forecasting

(2017) Zhen Shao et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Building electrical energy consumption forecasting analysis using conventional and artificial intelligence methods: A review

(2017) Mohammad Azhar Mat Daut et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A Comparison of Energy Consumption Prediction Models Based on Neural Networks of a Bioclimatic Building

(2016) Hamid Khosravani et al.   Energies

Using fuzzy multiple criteria decision making approaches for evaluating energy saving technologies and solutions in five star hotels: A new hierarchical framework

(2016) Abbas Mardani et al.   ENERGY

Energy savings and guaranteed thermal comfort in hotel rooms through nonlinear model predictive controllers

(2016) Adriana Acosta et al.   ENERGY AND BUILDINGS

Offset-free model predictive control for an energy efficient tropical island hotel

(2016) Boris G. Vega Lara et al.   ENERGY AND BUILDINGS

Tools to improve forecasting and control of the electricity consumption in hotels

(2016) Juan José Cabello Eras et al.   JOURNAL OF CLEANER PRODUCTION

Energy management strategies in hybrid renewable energy systems: A review

(2016) Lanre Olatomiwa et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

Hybrid system with micro gas turbine and PV (photovoltaic) plant: Guidelines for sizing and management strategies

(2015) Gabriele Comodi et al.   ENERGY

Identifying energy consumption patterns in the Attica hotel sector using cluster analysis techniques with the aim of reducing hotels’ CO2 footprint

(2015) Stella Panayiota Pieri et al.   ENERGY AND BUILDINGS

Automatic Time Series Forecasting: TheforecastPackage forR

(2015) Rob J. Hyndman et al.   Journal of Statistical Software

Open-loop tomography with artificial neural networks on CANARY: on-sky results

(2014) J. Osborn et al.   MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY

Using fuzzy logic to model the behavior of residential electrical utility customers

(2013) K.V. Zúñiga et al.   APPLIED ENERGY

Support Vector Machines and Multilayer Perceptron Networks Used to Evaluate the Cyanotoxins Presence from Experimental Cyanobacteria Concentrations in the Trasona Reservoir (Northern Spain)

(2013) J. A. Vilán Vilán et al.   WATER RESOURCES MANAGEMENT

General bound of overfitting for MLP regression models

(2012) J. Rynkiewicz   NEUROCOMPUTING

Energy models for demand forecasting—A review

(2011) L. Suganthi et al.   RENEWABLE & SUSTAINABLE ENERGY REVIEWS

A study on energy performance of hotel buildings in Singapore

(2009) Rajagopalan Priyadarsini et al.   ENERGY AND BUILDINGS

Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption

(2008) Alberto Hernandez Neto et al.   ENERGY AND BUILDINGS

Feasibility analysis of renewable energy supply options for a grid-connected large hotel

(2008) G.J. Dalton et al.   RENEWABLE ENERGY