Research graph
References from Energy and AI. Local targets link to admitted publications; unresolved targets remain external evidence.
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1985 · External reference
Accelerating materials development via automation, machine learning, and high-performance computing
10.1016/j.joule.2018.05.009 · 2018 · External reference
Machine learning for renewable energy materials
10.1039/c9ta02356a · 2019 · External reference
Big-data for building energy performance: lessons from assembling a very large national database of building energy use
10.1016/j.apenergy.2014.11.042 · 2015 · External reference
Estimation of the building energy use intensity in the urban scale by integrating gis and big data technology
10.1016/j.apenergy.2016.08.079 · 2016 · External reference
Data-driven and probabilistic learning of the process-structure-property relationship in solution-grown tellurene for optimized nanomanufacturing of high-performance nanoelectronics
10.1016/j.nanoen.2018.12.065 · 2019 · External reference
Insights from machine learning techniques for predicting the efficiency of fullerene derivatives-based ternary organic solar cells at ternary blend design
10.1002/aenm.201900891 · 2019 · External reference
Automatic chemical design using a data-driven continuous representation of molecules
10.1021/acscentsci.7b00572 · 2018 · External reference
Entropy theory of distributed energy for internet of things
10.1016/j.nanoen.2019.02.012 · 2019 · External reference
A survey of cyber-physical advances and challenges of wind energy conversion systems: prospects for internet of energy
2015 · External reference
Review of internet of things (IoT) in electric power and energy systems
2018 · External reference
A review on artificial intelligence based load demand forecasting techniques for smart grid and buildings
10.1016/j.rser.2015.04.065 · 2015 · External reference
A virtual reality integrated design approach to improving occupancy information integrity for closing the building energy performance gap
10.1016/j.scs.2016.03.010 · 2016 · External reference
Analysis of spatial fixed PV arrays configurations to maximize energy harvesting in BIPV applications
10.1016/j.renene.2014.10.041 · 2015 · External reference
Hybrid power plants in non-interconnected insular systems
10.1016/j.apenergy.2015.11.085 · 2016 · External reference
Autonomous energy harvesting base stations with minimum storage requirements
10.1109/lwc.2015.2406711 · 2015 · External reference
Development of a new temperature data acquisition system for solar energy applications
10.1016/j.renene.2014.08.006 · 2015 · External reference
Open source building science sensors (OSBSS): a low-cost Arduino-based platform for long-term indoor environmental data collection
10.1016/j.buildenv.2016.02.010 · 2016 · External reference
Modeling and forecasting of cooling and electricity load demand
10.1016/j.apenergy.2014.09.004 · 2014 · External reference
Understanding the timing of energy demand through time use data: time of the day dependence of social practices
10.1016/j.erss.2016.12.004 · 2017 · External reference
AI-based optimization of PEM fuel cell catalyst layers for maximum power density via data-driven surrogate modeling
10.1016/j.enconman.2019.112460 · 2020 · External reference
Data-driven techniques for fault diagnosis in power generation plants based on solid oxide fuel cells
10.1016/j.enconman.2018.10.107 · 2019 · External reference
Intelligent control for energy-positive street lighting
10.1016/j.energy.2016.07.156 · 2016 · External reference
Assessing the potential of PV hybrid systems to cover HVAC loads in a grid-connected residential building through intelligent control
10.1016/j.apenergy.2017.08.188 · 2017 · External reference
Modeling heating and cooling loads by artificial intelligence for energy-efficient building design
10.1016/j.enbuild.2014.07.036 · 2014 · External reference
Prediction of residential building energy consumption: a neural network approach
10.1016/j.energy.2016.10.066 · 2016 · External reference
Renewable energy: present research and future scope of artificial intelligence
10.1016/j.rser.2017.04.018 · 2017 · External reference
Integration of artificial intelligence methods and life cycle assessment to predict energy output and environmental impacts of paddy production
10.1016/j.scitotenv.2018.03.088 · 2018 · External reference
Combined life cycle assessment and artificial intelligence for prediction of output energy and environmental impacts of sugarcane production
10.1016/j.scitotenv.2019.02.004 · 2019 · External reference
A highly sensitive, self-powered triboelectric auditory sensor for social robotics and hearing aids
10.1126/scirobotics.aat2516 · 2018 · External reference
On the potential of hydrogen-powered hydraulic pumps for soft robotics
10.1089/soro.2016.0071 · 2017 · External reference
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