Applied Energy

Papers
(The H4-Index of Applied Energy is 106. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-05-01 to 2024-05-01.)
ArticleCitations
Technologies and policies to decarbonize global industry: Review and assessment of mitigation drivers through 2070450
The state-of-the-art review on energy harvesting from flow-induced vibrations363
A review of wind speed and wind power forecasting with deep neural networks345
Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities339
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives280
A review of machine learning in building load prediction271
Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges270
Global low-carbon energy transition in the post-COVID-19 era264
Reinforcement learning for building controls: The opportunities and challenges248
Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture248
Insight into KOH activation mechanism during biomass pyrolysis: Chemical reactions between O-containing groups and KOH239
Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles218
A novel decentralized platform for peer-to-peer energy trading market with blockchain technology218
Environmental and economic multi-objective optimization of a household level hybrid renewable energy system by genetic algorithm212
Review of oil shale in-situ conversion technology209
A combined method for state-of-charge estimation for lithium-ion batteries using a long short-term memory network and an adaptive cubature Kalman filter204
Peer-to-peer energy trading: A review of the literature203
Electric load forecasting based on deep learning and optimized by heuristic algorithm in smart grid196
Design of non-uniformly distributed annular fins for a shell-and-tube thermal energy storage unit194
Low carbon roadmap of residential building sector in China: Historical mitigation and prospective peak185
Global potential of green ammonia based on hybrid PV-wind power plants185
Uncovering the true cost of hydrogen production routes using life cycle monetisation182
Trends in tools and approaches for modelling the energy transition182
Full energy sector transition towards 100% renewable energy supply: Integrating power, heat, transport and industry sectors including desalination181
Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects180
A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery175
Machine learning driven smart electric power systems: Current trends and new perspectives173
COVID-19: Impact analysis and recommendations for power sector operation173
Implementation of agrophotovoltaics: Techno-economic analysis of the price-performance ratio and its policy implications171
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark169
State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach165
Review on reliability of supercapacitors in energy storage applications163
Combined biomass gasification, SOFC, IC engine, and waste heat recovery system for power and heat generation: Energy, exergy, exergoeconomic, environmental (4E) evaluations158
Does carbon emissions trading promote green technology innovation in China?158
Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading158
Additive manufacturing for energy: A review157
Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning153
The relationship between air pollution and COVID-19-related deaths: An application to three French cities151
Model predictive control with adaptive machine-learning-based model for building energy efficiency and comfort optimization151
Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?149
Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network149
Carbon price forecasting based on CEEMDAN and LSTM149
Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis149
A hybrid model for carbon price forecasting using GARCH and long short-term memory network148
Tightening EU ETS targets in line with the European Green Deal: Impacts on the decarbonization of the EU power sector146
Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm145
Extensive comparison of physical models for photovoltaic power forecasting142
Ammonia to power: Forecasting the levelized cost of electricity from green ammonia in large-scale power plants141
Decarbonizing China’s iron and steel industry from the supply and demand sides for carbon neutrality140
Advances in carbon capture, utilization and storage140
Applications and technological challenges for heat recovery, storage and utilisation with latent thermal energy storage139
Material and energy flows of the iron and steel industry: Status quo, challenges and perspectives138
Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building135
Gradient design of pore parameters on the melting process in a thermal energy storage unit filled with open-cell metal foam135
Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning135
Review on form-stable inorganic hydrated salt phase change materials: Preparation, characterization and effect on the thermophysical properties134
Environmental implications of economic complexity and its role in determining how renewable energies affect CO2 emissions133
Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China132
Optimal design of electric vehicle battery recycling network – From the perspective of electric vehicle manufacturers130
Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning129
Thermal management of polymer electrolyte membrane fuel cells: A review of cooling methods, material properties, and durability129
Review of thermoelectric geometry and structure optimization for performance enhancement129
Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning127
Usage impact on data center electricity needs: A system dynamic forecasting model125
Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks124
Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting124
Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions123
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm123
Evaluation on combustion and lean-burn limit of a medium compression ratio hydrogen/methanol dual-injection spark-ignition engine under methanol late-injection122
Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review120
A novel wavenets long short term memory paradigm for wind power prediction119
Hard-to-Abate Sectors: The role of industrial carbon capture and storage (CCS) in emission mitigation119
Energy consumption analysis and prediction of electric vehicles based on real-world driving data118
Power-to-hydrogen as seasonal energy storage: an uncertainty analysis for optimal design of low-carbon multi-energy systems118
Life cycle environmental and cost comparison of current and future passenger cars under different energy scenarios117
Carbon reduction in commercial building operations: A provincial retrospection in China117
Day-ahead photovoltaic power production forecasting methodology based on machine learning and statistical post-processing117
China’s pathways to peak carbon emissions: New insights from various industrial sectors117
What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data116
Innovative agrivoltaic systems to produce sustainable energy: An economic and environmental assessment115
Incremental capacity analysis based adaptive capacity estimation for lithium-ion battery considering charging condition115
A machine-learning prediction method of lithium-ion battery life based on charge process for different applications115
Parameter sensitivity analysis of electrochemical model-based battery management systems for lithium-ion batteries115
Electricity trading pricing among prosumers with game theory-based model in energy blockchain environment115
From concept to application: A review of use cases in urban building energy modeling114
Internal combustion engines powered by syngas: A review113
Pyrolysis and in-line catalytic decomposition of polypropylene to carbon nanomaterials and hydrogen over Fe- and Ni-based catalysts112
Exergy and energy analysis of wavy tubes photovoltaic-thermal systems using microencapsulated PCM nano-slurry coolant fluid112
Network topology optimisation based on dynamic thermal rating and battery storage systems for improved wind penetration and reliability111
Daily electric vehicle charging load profiles considering demographics of vehicle users111
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries111
A review of energy storage technologies for large scale photovoltaic power plants111
Towards world's low carbon development: The role of clean energy110
A geothermal and solar-based multigeneration system integrated with a TEG unit: Development, 3E analyses, and multi-objective optimization110
Experimental investigation of ammonia combustion in a bench scale 1.2 MW-thermal pulverised coal firing furnace110
The greenhouse gas emissions of an electrified vehicle combined with renewable fuels: Life cycle assessment and policy implications109
Breeze-driven triboelectric nanogenerator for wind energy harvesting and application in smart agriculture109
State-of-the-art of controllers and soft computing techniques for regulated load frequency management of single/multi-area traditional and renewable energy based power systems109
Life-cycle cost assessment of alternative marine fuels to reduce the carbon footprint in short-sea shipping: A case study of Croatia109
Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges108
Optimal design and performance analysis of a hybrid system combing a floating wind platform and wave energy converters108
Multi-objective approach to the optimization of shape and envelope in building energy design108
Towards highly efficient electrochemical CO2 reduction: Cell designs, membranes and electrocatalysts107
Should we reinforce the grid? Cost and emission optimization of electric vehicle charging under different transformer limits106
A blockchain based peer-to-peer trading framework integrating energy and carbon markets106
A review of large-scale CO2 shipping and marine emissions management for carbon capture, utilisation and storage106
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