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RESEARCH PAPER · Annual Review of Environment and Resources · 2021

Machine Learning for Sustainable Energy Systems

Priya L. Donti, J. Zico Kolter

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Machine Learning for Sustainable Energy SystemsOriginalCDCGen: Cross-Domain Conditional Generation via Normalizing Flows and Adversarial Training6Data-driven probabilistic machine learning in sustainable smart energy/smart energy systems: Key developments, challenges, and future research opportunities in the context of smart grid paradigm707Recognition of Geothermal Surface Manifestations: A Comparison of Machine Learning and Deep Learning14Explainable Artificial Intelligence (XAI) techniques for energy and power systems: Review, challenges and opportunities539Quantum computing and quantum artificial intelligence for renewable and sustainable energy: A emerging prospect towards climate neutrality145Energy and thermal modelling of an office building to develop an artificial neural networks model15Deep Learning based Prediction of Solar Surface Irradiance with Geostationary Satellite Images1Conditional Synthetic Data Generation for Robust Machine Learning Applications with Limited Pandemic Data39Artificial Intelligence applications for power systems (including Machine Learning)5Productivity regression analysis of cutter suction dredger considering operating characteristics and equipment status5Automated Extraction of Energy Systems Information from Remotely Sensed Data: A Review and Analysis47Role of machine learning in attaining environmental sustainability38Forecasting GHG emissions for environmental protection with energy consumption reduction from renewable sources: A sustainable environmental system19Cooperative Unmanned Aerial Vehicles for Monitoring and Maintenance of Heat and Electricity Incorporated Networks5Sustainable energies and machine learning: An organized review of recent applications and challenges79Application of Machine Learning in Energy Systems – a Comparative Analysis of Three Case Studies1Closing the domain gap: blended synthetic imagery for climate object detection0Machine learning for sustainable development and applications of biomass and biomass-derived carbonaceous materials in water and agricultural systems: A review62Reshaping the material research paradigm of electrochemical energy storage and conversion by machine learning34AI and Energy Justice31Deep Neural Network for Predicting Changing Market Demands in the Energy Sector for a Sustainable Economy36Predicting Chronic Kidney Disease Using Machine Learning Algorithms70Deep Belief Network with Swarm Spider Optimization Method for Renewable Energy Power Forecasting15Machine learning for design and optimization of organic Rankine cycle plants: A review of current status and future perspectives8Machine learning for modern power distribution systems: Progress and perspectives48The Cost of Understanding—XAI Algorithms towards Sustainable ML in the View of Computational Cost23Physics-Informed Machine Learning for Modeling and Control of Dynamical Systems63Large-Scale Grid Optimization: the Workhorse of Future Grid Computations11Predicting tree failure likelihood for utility risk mitigation via a convolutional neural network3Integrated Multiscale Modeling-Simulation (MMS) and Machine Learning (ML)-Based Design and Development of Novel Technologies, Systems, and Processes0Performance Computation of Sustainable Energy System Using PVLIB-Python1A Network Synthesis and Analytics Pipeline with Applications to Sustainable Energy in Smart Grid2Smart aviation biofuel energy system coupling with machine learning technology24Applications of Machine Learning in Modern Power Systems: A Comprehensive Review3Optimization scheme for intelligent master controller with collaboratives energy system0Going green with artificial intelligence: The path of technological change towards the renewable energy transition90Assessing the properties of Miscanthus x Giganteus under varying levels of ash fertilization treatment and regression neural network insight into calorific value1Clustering1A Holistic Implementation of Data Science in Clean Energy Engineering Education1On the utilization of artificial intelligence for studying and multi-objective optimizing a compressed air energy storage integrated energy system31Data mining model to prediction thermal efficiency in ORC0Application of Machine Learning in Energy Systems – a Comparative Analysis of Three Review Case Studies0Data-driven discovery of turbulent flow equations using physics-informed neural networks36AI-Driven Sustainable Video Marketing Strategies: Harnessing Deep Learning Algorithms to Sustainable Advertising Campaigns with Special Reference to the Education Industry6Beyond privacy and security: Exploring ethical issues of smart metering and non-intrusive load monitoring15Analysis of Energy Security Based on Level of Alignment with the Goals of Agenda 20306Empowering the Grid: A Comprehensive Review of Artificial Intelligence Techniques in Smart Grids13Comprehensive survey of artificial intelligence techniques and strategies for climate change mitigation121Harness the Potential of Explainable Artificial Intelligence and ML Techniques in Solar Energy Forecasting3A systematic review of current AI techniques used in the context of the SDGs53Adsorption Capacity Prediction and Optimization of Electrospun Nanofiber Membranes for Estrogenic Hormone Removal Using Machine Learning Algorithms9Recent advances and applications of machine learning in the variable renewable energy sector40The contribution of artificial intelligence to phase change materials in thermal energy storage: From prediction to optimization43Multi-Seasonal Modeling of Energy Consumption in a Building: Integration of Sub-Models with Switching3Machine Learning in Solid‐State Hydrogen Storage Materials: Challenges and Perspectives92A Data-Driven Anomaly Detection Framework for Power Generation Systems in Bangladesh: Leveraging Large Language Models, Autoencoders, and Optimization Techniques0Machine learning in energy management0Machine Learning-Based Projections of Long-Term Electricity Consumption: The Case Study of Ecuador0Machine Learning-Based Solar Radiation Forecasting for Green Hydrogen Production0Physics-aware machine learning for energy management of integrated energy systems0Physics-aware machine learning for sustainable development of integrated energy systems0Machine Learning-Based Forecasting of Output Currents for Demand Response Management and Energy Distribution Optimization in Low-Voltage DC Microgrids1Grid Peak Shaving and Energy Efficiency Improvement: Advances in Gravity Energy Storage Technology and Research on Its Efficient Application18Imaging the Electrochemical Processes by Single‐Molecule Fluorescence Microscopy10A deep learning pipeline to power infrastructure detection in high-resolution satellite images5An intelligent NSGA-II-based optimization of a novel biogas-fed oxyfuel gas turbine cycle using CO2 capture option coupled with a multi-heat recovery network and a multi-effect desalination cycle30Machine learning applications in energy systems: current trends, challenges, and research directions91Blockchain-Based Smart Electricity Monitoring and Sustainable Grid System with Machine Learning-Powered Electricity Demand Forecasting1Menstrual cycle inspired latent diffusion model for image augmentation in energy production10Machine learning in sludge Treatment: Applications, mechanisms, and prospects11Ab interno Goniotomy/Goniectomy Techniques1Fully-connected layers-embedded self-attention optimizer based on quantum-inspired and fuzzy logic for smart household energy management1AI in power systems: a systematic review of key matters of concern30The Role of Artificial Intelligence in Advancing Energy Justice and Equity2Bifunctional Zn/F Co-doping in P2-type cathodes: Spatial suppression of phase transition and oxygen redox degradation for high-voltage sodium-ion batteries1Artificial Intelligence in Renewable Energy: A Systematic Review of Trends in Solar, Wind, and Smart Grid Applications11Challenges, opportunities, and future of machine learning in membrane technology0Decentralized Federated Learning for Distributed Energy Resources and Networks0Prediction and multi-objective optimization of a floating wind-wave hybrid system using surrogate modeling7Predictive modeling and anomaly detection in solar PV inverters using machine learning12Advanced Diagnostic and Management Approaches for Control Systems in Energy Infrastructure Integrity2A comparative study of machine learning methods to predict the thermal and energy performance of a small-scale solar chimney3A Metamodeling Framework for Accelerated Energy Market Optimization Using Active Learning0Bayesian Optimisation Against Climate Change: Applications and Benchmarks1Emerging Practices and Artificial Intelligence Innovations in Green Urbanism: Nature-Based Solutions, Climate Resilience, and Environmental Strategies0Informatics for thermodynamics: Stability to synthesizability0Optimizing the Energy-Water-Environment Nexus in Legacy Thermal Power Plants: A Data-Driven Clustering Framework Validated by Thermodynamic Simulation0Physics-Informed Contrastive Learning (PICL) for Detection of Stealthy Cyber–Physical Attacks in Smart Power Grids0Synergizing Quantum Machine Learning and High-Performance Computing for Sustainable Resource Management0More than just transition: Uncovering heterogeneous socio-economic outcomes of climate policies2Advanced simulations from DFT to machine learning for solid-state hydrogen storage: fundamentals, progresses, challenges and perspectives19A comprehensive survey of distributed optimization methods and technological enablers for sustainable energy communities13Toward a human-centered energy transition: Concepts, models, challenges, and research opportunities2Computational Entropy Modeling for Sustainable Energy Systems: A Review of Numerical Techniques, Optimization Methods, and Emerging Applications3Misbehaviour dominates GHG emissions from food loss and waste3Artificial intelligence-driven methods for energy storage innovation and intelligent management2Deployment Readiness of Artificial Neural Networks in Power Systems (2020–2024): A Bibliometric and Engineering Assessment Using a Domain-Level Evaluation Framework0Quantifying the Carbon Reduction of DAG Workloads: A Job Shop Scheduling Perspective0A study on the applicability of PV/T-EAHE in different regions based on machine learning prediction algorithms0Latent space based inner-outer twin machine: Application to reactor monitoring0The Impact of Artificial Intelligence on Urban Green Total Factor Productivity—Evidence from Chinese Cities0Comparative analysis of generative and deterministic deep learning models for fast power flow prediction0A Physics-Inspired Spiking Neural Network for Explainable Decision-Support in Power Grid Operation0A review of artificial intelligence methodologies in marine renewable energy technologies1The Artificial Intelligence–Power Grid Nexus for Sustainability: AI–Power Grid Sustainability Nexus: Challenges and Path Forward0Uncovering the directionality of innovation in artificial intelligence for energy transitions: A global perspective on the twin transition using patent analysis1Machine-learning modeling and optimization of electro-osmotic dewatering of wastewater sludge: Current status and challenges0Skills-based human capital for green-digital transformation in high-tech industries: Digital governance, organizational learning, and low-carbon process improvement0Harnessing the Synergy of Artificial Intelligence and Renewable Energy0

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