相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Regularized ELM bagging model for Tropical Cyclone Tracks prediction in South China Sea
Maocan Yang et al.
COGNITIVE SYSTEMS RESEARCH (2021)
Experiment study of machine-learning-based approximate model predictive control for energy-efficient building control
Shiyu Yang et al.
APPLIED ENERGY (2021)
Predicting product return volume using machine learning methods
Hailong Cui et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2020)
A MILP-based modular energy management system for urban multi-energy systems: Performance and sensitivity analysis
A. Moser et al.
APPLIED ENERGY (2020)
Effective energy consumption forecasting using enhanced bagged echo state network
Huanling Hu et al.
ENERGY (2020)
A participatory approach based on stochastic optimization for the spatial allocation of Sustainable Urban Drainage Systems for rainwater harvesting
Maria Narine Torres et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2020)
Comparison of support vector machine and copula-based nonlinear quantile regression for estimating the daily diffuse solar radiation: A case study in China
Yanfeng Liu et al.
RENEWABLE ENERGY (2020)
Interpretable machine learning for predicting biomethane production in industrial-scale anaerobic co-digestion
Djavan De Clercq et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
Macro-classification of meteorites by portable energy dispersive X-ray fluorescence spectroscopy (pED-XRF), principal component analysis (PCA) and machine learning algorithms
Ignazio Allegretta et al.
TALANTA (2020)
Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak
Minda Ma et al.
APPLIED ENERGY (2020)
Integrated supply-demand energy management for optimal design of off-grid hybrid renewable energy systems for residential electrification in arid climates
Charafeddine Mokhtara et al.
ENERGY CONVERSION AND MANAGEMENT (2020)
Machine learning prediction of compressive strength for phase change materials integrated cementitious composites
Afshin Marani et al.
CONSTRUCTION AND BUILDING MATERIALS (2020)
Machine learning applications in urban building energy performance forecasting: A systematic review
Soheil Fathi et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2020)
A novel cryptocurrency price trend forecasting model based on LightGBM
Sun Xiaolei et al.
FINANCE RESEARCH LETTERS (2020)
Machine learning of ab-initio energy landscapes for crystal structure predictions
Shreyas Honrao et al.
COMPUTATIONAL MATERIALS SCIENCE (2019)
A multi-objective risk-based robust optimization approach to energy management in smart residential buildings under combined demand and supply uncertainty
Heris Gopira et al.
ENERGY (2019)
Potential of kernel-based nonlinear extension of Arps decline model and gradient boosting with categorical features support for predicting daily global solar radiation in humid regions
Lifeng Wu et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Optimization and dynamic analysis of a novel polygeneration system producing heat, cool and fresh water
Francesco Calise et al.
RENEWABLE ENERGY (2019)
Comparison of centralized and decentralized air-conditioning systems for a multi-storey/multi users building integrated with electric and diesel vehicles and considering the evolution of the national energy system
E. Marrasso et al.
ENERGY (2019)
Dimension reduction of image deep feature using PCA
Ji Ma et al.
JOURNAL OF VISUAL COMMUNICATION AND IMAGE REPRESENTATION (2019)
Comprehensive preference learning and feature validity for designing energy-efficient residential buildings using machine learning paradigms
Wei Gao et al.
APPLIED SOFT COMPUTING (2019)
Wind power forecasting based on daily wind speed data using machine learning algorithms
Halil Demolli et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
Carbon-dioxide mitigation in the residential building sector: A household scale-based assessment
Minda Ma et al.
ENERGY CONVERSION AND MANAGEMENT (2019)
A Model Combining Convolutional Neural Network and LightGBM Algorithm for Ultra-Short-Term Wind Power Forecasting
Yun Ju et al.
IEEE ACCESS (2019)
Design of distributed energy systems under uncertainty: A two-stage stochastic programming approach
Georgios Mavromatidis et al.
APPLIED ENERGY (2018)
Machine learning-based thermal response time ahead energy demand prediction for building heating systems
Yabin Guo et al.
APPLIED ENERGY (2018)
Optimization and performance analysis of solar hybrid CCHP systems under different operation strategies
Gan Yang et al.
APPLIED THERMAL ENGINEERING (2018)
Machine-Learning-Assisted Accurate Band Gap Predictions of Functionalized MXene
Arunkumar Chitteth Rajan et al.
CHEMISTRY OF MATERIALS (2018)
Water source heat pump energy demand prognosticate using disparate data-mining based approaches
Tanveer Ahmad et al.
ENERGY (2018)
Random Forest based hourly building energy prediction
Zeyu Wang et al.
ENERGY AND BUILDINGS (2018)
Predictive modeling for US commercial building energy use: A comparison of existing statistical and machine learning algorithms using CBECS microdata
Hengfang Deng et al.
ENERGY AND BUILDINGS (2018)
Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China
Junliang Fan et al.
ENERGY CONVERSION AND MANAGEMENT (2018)
Sustainable energy-water management for residential houses with optimal integrated grey and rain water recycling
Evan Wanjiru et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Economic analysis of rainwater harvesting systems comparing developing and developed countries: A case study of Australia and Kenya
Caleb Christian Amos et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Tree-based ensemble methods for predicting PV power generation and their comparison with support vector regression
Muhammad Waseem Ahmad et al.
ENERGY (2018)
Forecasting energy consumption time series using machine learning techniques based on usage patterns of residential householders
Jui-Sheng Chou et al.
ENERGY (2018)
Carbon abatement in China's commercial building sector: A bottom-up measurement model based on Kaya-LMDI methods
Minda Ma et al.
ENERGY (2018)
Predictive modelling for solar thermal energy systems: A comparison of support vector regression, random forest, extra trees and regression trees
Muhammad Waseem Ahmad et al.
JOURNAL OF CLEANER PRODUCTION (2018)
Design of efficient blue phosphorescent bottom emitting light emitting diodes by machine learning approach
Muhammad Asyraf Bin Janai et al.
ORGANIC ELECTRONICS (2018)
Rainwater Harvesting as a Drinking Water Option for Mexico City
Mireya Imaz Gispert et al.
SUSTAINABILITY (2018)
Predicting fuel consumption for commercial buildings with machine learning algorithms
Aowabin Rahman et al.
ENERGY AND BUILDINGS (2017)
Deep neural networks, gradient-boosted trees, random forests: Statistical arbitrage on the S&P 500
Christopher Krauss et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2017)
A robust and efficient stepwise regression method for building sparse polynomial chaos expansions
Simon Abraham et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2017)
Robust optimal design of renewable energy system in nearly/net zero energy buildings under uncertainties
Yuehong Lu et al.
APPLIED ENERGY (2017)
Grey water in buildings: a mini-review of guidelines, technologies and case studies
Sabino De Gisi et al.
CIVIL ENGINEERING AND ENVIRONMENTAL SYSTEMS (2016)
Estimation of the building energy use intensity in the urban scale by integrating GIS and big data technology
Jun Ma et al.
APPLIED ENERGY (2016)
A comparison of approaches to stepwise regression on variables sensitivities in building simulation and analysis
Mengchao Wang et al.
ENERGY AND BUILDINGS (2016)
Economic and environmental scheduling of smart homes with microgrid: DER operation and electrical tasks
Di Zhang et al.
ENERGY CONVERSION AND MANAGEMENT (2016)
Principal component analysis: a review and recent developments
Ian T. Jolliffe et al.
PHILOSOPHICAL TRANSACTIONS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES (2016)
Building's electricity consumption prediction using optimized artificial neural networks and principal component analysis
Kangji Li et al.
ENERGY AND BUILDINGS (2015)
A new hybrid support vector machine-wavelet transform approach for estimation of horizontal global solar radiation
Kasra Mohammadi et al.
ENERGY CONVERSION AND MANAGEMENT (2015)
Optimal design of mixed AC-DC distribution systems for commercial buildings: A Nonconvex Generalized Benders Decomposition approach
Stephen M. Frank et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2015)
Integration of biomass into urban energy systems for heat and power. Part I: An MILP based spatial optimization methodology
Antonio M. Pantaleo et al.
ENERGY CONVERSION AND MANAGEMENT (2014)
A review on applications of ANN and SVM for building electrical energy consumption forecasting
A. S. Ahmad et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
A mathematical programming approach for optimal design of distributed energy systems at the neighbourhood level
Eugenia D. Mehleri et al.
ENERGY (2012)
Sustainable energy systems: Role of optimization modeling techniques in power generation and supply-A review
Aqeel Ahmed Bazmi et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2011)
Roof rainwater harvesting systems for household water supply in Jordan
Fayez A. Abdulla et al.
DESALINATION (2009)
Stochastic rainfall modeling in West Africa: Parsimonious approaches for domestic rainwater harvesting assessment
Joshua R. Cowden et al.
JOURNAL OF HYDROLOGY (2008)
Synergy analysis of collaborative supply chain management in energy systems using multi-period MILP
Ahu Soylu et al.
EUROPEAN JOURNAL OF OPERATIONAL RESEARCH (2006)
Extremely randomized trees
P Geurts et al.
MACHINE LEARNING (2006)
Regularization and variable selection via the elastic net
H Zou et al.
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2005)
Stochastic gradient boosting
JH Friedman
COMPUTATIONAL STATISTICS & DATA ANALYSIS (2002)
分享论文
