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。Deep learning techniques for energy forecasting and condition monitoring in the manufacturing sector
Victoria Jayne Mawson et al.
ENERGY AND BUILDINGS (2020)
Smart energy management algorithm for load smoothing and peak shaving based on load forecasting of an island's power system
Spyridon Chapaloglou et al.
APPLIED ENERGY (2019)
Automated electrical demand peak leveling in a manufacturing facility with short term energy storage for smart grid participation
Derek Machalek et al.
JOURNAL OF MANUFACTURING SYSTEMS (2019)
The potential of photovoltaic systems to reduce energy costs for office buildings in time-dependent and peak-load-dependent tariffs
Jakub Jurasz et al.
SUSTAINABLE CITIES AND SOCIETY (2019)
Optimal Energy Storage System Operation Model for Peak Reduction with Prediction Uncertainty
Daisuke Kodaira et al.
IFAC PAPERSONLINE (2019)
Cooling down: A simulation approach to reduce energy peaks of reefers at terminals
J. H. R. (Ron) van Duin et al.
JOURNAL OF CLEANER PRODUCTION (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)
Peak Power Load and Energy Costs Using the Example of the Startup and Idling of a Grinding Machine
Henning Voet et al.
25TH CIRP LIFE CYCLE ENGINEERING (LCE) CONFERENCE (2018)
Applying Energy Building Simulation in the Assessment of Energy Efficiency Measures in Factories
Max Weeber et al.
25TH CIRP LIFE CYCLE ENGINEERING (LCE) CONFERENCE (2018)
Trees vs Neurons: Comparison between random forest and ANN for high-resolution prediction of building energy consumption
Muhammad Waseem Ahmad et al.
ENERGY AND BUILDINGS (2017)
Reduction of heat pump induced peak electricity use and required generation capacity through thermal energy storage and demand response
Brecht Baeten et al.
APPLIED ENERGY (2017)
Estimating building energy consumption using extreme learning machine method
Sareh Naji et al.
ENERGY (2016)
A review on modeling and simulation of building energy systems
V. S. K. V. Harish et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2016)
Co-simulation environment for optimizing energy efficiency in production systems
Friedrich Bleicher et al.
CIRP ANNALS-MANUFACTURING TECHNOLOGY (2014)
A modular optimisation model for reducing energy consumption in large scale building facilities
Ioan Petri et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Review of energy models to the development of an efficient industrial energy model
O. A. Olanrewaju et al.
RENEWABLE & SUSTAINABLE ENERGY REVIEWS (2014)
Analysis of thermal energy demand and saving in industrial buildings: A case study in Slovakia
Dusan Katunsky et al.
BUILDING AND ENVIRONMENT (2013)
Time-of-use based electricity demand response for sustainable manufacturing systems
Yong Wang et al.
ENERGY (2013)
Prediction of building energy consumption by using artificial neural networks
Betul Bektas Ekici et al.
ADVANCES IN ENGINEERING SOFTWARE (2009)
Comparison between detailed model simulation and artificial neural network for forecasting building energy consumption
Alberto Hernandez Neto et al.
ENERGY AND BUILDINGS (2008)
A review on buildings energy consumption information
Luis Perez-Lombard et al.
ENERGY AND BUILDINGS (2008)