OOIR: Observatory of International Research

Papers

(The H4-Index of Applied Energy is 109. 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 2020-11-01 to 2024-11-01.)

Article	Citations
A review of wind speed and wind power forecasting with deep neural networks	426
Impacts of COVID-19 on energy demand and consumption: Challenges, lessons and emerging opportunities	373
Artificial intelligence based anomaly detection of energy consumption in buildings: A review, current trends and new perspectives	338
A review of machine learning in building load prediction	329
Global low-carbon energy transition in the post-COVID-19 era	317
Peer-to-peer energy systems for connected communities: A review of recent advances and emerging challenges	308
Insight into KOH activation mechanism during biomass pyrolysis: Chemical reactions between O-containing groups and KOH	298
Understanding farmers’ intention and willingness to install renewable energy technology: A solution to reduce the environmental emissions of agriculture	281
Research progress, challenges and prospects of fault diagnosis on battery system of electric vehicles	265
A novel decentralized platform for peer-to-peer energy trading market with blockchain technology	253
Peer-to-peer energy trading: A review of the literature	242
Full energy sector transition towards 100% renewable energy supply: Integrating power, heat, transport and industry sectors including desalination	217
Global potential of green ammonia based on hybrid PV-wind power plants	217
Low carbon optimal operation of integrated energy system based on carbon capture technology, LCA carbon emissions and ladder-type carbon trading	215
Uncovering the true cost of hydrogen production routes using life cycle monetisation	214
Carbon price forecasting based on CEEMDAN and LSTM	209
A review of non-probabilistic machine learning-based state of health estimation techniques for Lithium-ion battery	209
Trends in tools and approaches for modelling the energy transition	209
Design of non-uniformly distributed annular fins for a shell-and-tube thermal energy storage unit	208
Forecasting day-ahead electricity prices: A review of state-of-the-art algorithms, best practices and an open-access benchmark	205
Does carbon emissions trading promote green technology innovation in China?	202
Inventive problem-solving map of innovative carbon emission strategies for solar energy-based transportation investment projects	196
Multi-objective load dispatch for microgrid with electric vehicles using modified gravitational search and particle swarm optimization algorithm	196
State-of-charge estimation of LiFePO4 batteries in electric vehicles: A deep-learning enabled approach	192
Additive manufacturing for energy: A review	190

Review on reliability of supercapacitors in energy storage applications	187
Combined biomass gasification, SOFC, IC engine, and waste heat recovery system for power and heat generation: Energy, exergy, exergoeconomic, environmental (4E) evaluations	186
COVID-19: Impact analysis and recommendations for power sector operation	182
Deep learning for load forecasting with smart meter data: Online Adaptive Recurrent Neural Network	181
Advances in carbon capture, utilization and storage	179
Extensive comparison of physical models for photovoltaic power forecasting	178
Applications and technological challenges for heat recovery, storage and utilisation with latent thermal energy storage	172
A hybrid model for carbon price forecasting using GARCH and long short-term memory network	170
Can renewable generation, energy storage and energy efficient technologies enable carbon neutral energy transition?	167
Tightening EU ETS targets in line with the European Green Deal: Impacts on the decarbonization of the EU power sector	167
Ammonia to power: Forecasting the levelized cost of electricity from green ammonia in large-scale power plants	167
Impacts of COVID-19 pandemic on user behaviors and environmental benefits of bike sharing: A big-data analysis	163
Artificial intelligence techniques for stability analysis and control in smart grids: Methodologies, applications, challenges and future directions	160
Decarbonizing China’s iron and steel industry from the supply and demand sides for carbon neutrality	159
Experimental investigation of ammonia combustion in a bench scale 1.2 MW-thermal pulverised coal firing furnace	158
Thermal management of polymer electrolyte membrane fuel cells: A review of cooling methods, material properties, and durability	158
Effects of smart city construction on energy saving and CO2 emission reduction: Evidence from China	157
Environmental implications of economic complexity and its role in determining how renewable energies affect CO2 emissions	157
The relationship between air pollution and COVID-19-related deaths: An application to three French cities	155
A comparative study of different features extracted from electrochemical impedance spectroscopy in state of health estimation for lithium-ion batteries	155
Intelligent multi-zone residential HVAC control strategy based on deep reinforcement learning	155
Long short term memory–convolutional neural network based deep hybrid approach for solar irradiance forecasting	155
A review of large-scale CO2 shipping and marine emissions management for carbon capture, utilisation and storage	153
Review on form-stable inorganic hydrated salt phase change materials: Preparation, characterization and effect on the thermophysical properties	150
Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning	150
Usage impact on data center electricity needs: A system dynamic forecasting model	149
Lithium-ion battery capacity estimation — A pruned convolutional neural network approach assisted with transfer learning	148
Hard-to-Abate Sectors: The role of industrial carbon capture and storage (CCS) in emission mitigation	147
Short-term multi-energy load forecasting for integrated energy systems based on CNN-BiGRU optimized by attention mechanism	146
Kinetic energy harvesting technologies for applications in land transportation: A comprehensive review	140
China’s pathways to peak carbon emissions: New insights from various industrial sectors	138
Impacts of the COVID-19 lockdown on energy consumption in a Canadian social housing building	138
Robust short-term electrical load forecasting framework for commercial buildings using deep recurrent neural networks	137
Towards world's low carbon development: The role of clean energy	137
Low temperature preheating techniques for Lithium-ion batteries: Recent advances and future challenges	136
What drives urban carbon emission efficiency? – Spatial analysis based on nighttime light data	136
Short-term electricity price and load forecasting in isolated power grids based on composite neural network and gravitational search optimization algorithm	136
A machine-learning prediction method of lithium-ion battery life based on charge process for different applications	135
The greenhouse gas emissions of an electrified vehicle combined with renewable fuels: Life cycle assessment and policy implications	134
Breeze-driven triboelectric nanogenerator for wind energy harvesting and application in smart agriculture	134
A review of heat transfer and thermal management methods for temperature gradient reduction in solid oxide fuel cell (SOFC) stacks	133
N-BEATS neural network for mid-term electricity load forecasting	132
Artificial Intelligence and emerging digital technologies in the energy sector	132
Evaluation on combustion and lean-burn limit of a medium compression ratio hydrogen/methanol dual-injection spark-ignition engine under methanol late-injection	132
Network topology optimisation based on dynamic thermal rating and battery storage systems for improved wind penetration and reliability	131
‘Clean’ hydrogen? – Comparing the emissions and costs of fossil fuel versus renewable electricity based hydrogen	131
Blockchain-based decentralized energy management platform for residential distributed energy resources in a virtual power plant	131
Innovative agrivoltaic systems to produce sustainable energy: An economic and environmental assessment	131
A geothermal and solar-based multigeneration system integrated with a TEG unit: Development, 3E analyses, and multi-objective optimization	129
From concept to application: A review of use cases in urban building energy modeling	128

Carbon reduction in commercial building operations: A provincial retrospection in China	128
Condition monitoring and anomaly detection of wind turbine based on cascaded and bidirectional deep learning networks	126
Hierarchical stochastic scheduling of multi-community integrated energy systems in uncertain environments via Stackelberg game	126
The role of renewable and nuclear energy R&D expenditures and income on environmental quality in Germany: Scrutinizing the EKC and LCC hypotheses with smooth structural changes	125
High-solid anaerobic digestion of sewage sludge: challenges and opportunities	124
Attention-based interpretable neural network for building cooling load prediction	124
Life-cycle cost assessment of alternative marine fuels to reduce the carbon footprint in short-sea shipping: A case study of Croatia	124
The response of temperature and pressure of hydrate reservoirs in the first gas hydrate production test in South China Sea	123
Multi-objective approach to the optimization of shape and envelope in building energy design	123
Metrics and enhancement strategies for grid resilience and reliability during natural disasters	123
Comparative techno-economic and life-cycle assessment of power-to-methanol synthesis pathways	121
Estimating long-term global supply costs for low-carbon hydrogen	120
Envisioning the UN Sustainable Development Goals (SDGs) through the lens of energy sustainability (SDG 7) in the post-COVID-19 world	120
A low-frequency rotational electromagnetic energy harvester using a magnetic plucking mechanism	119
Application of entropy production theory for energy losses and other investigation in pumps and turbines: A review	119
Towards highly efficient electrochemical CO2 reduction: Cell designs, membranes and electrocatalysts	118
Modeling, design, materials and fabrication of bipolar plates for proton exchange membrane fuel cell: A review	118
A blockchain based peer-to-peer trading framework integrating energy and carbon markets	117
The effects and reacts of COVID-19 pandemic and international oil price on energy, economy, and environment in China	116
An Artificial Intelligence based scheduling algorithm for demand-side energy management in Smart Homes	115
Historical decarbonization of global commercial building operations in the 21st century	115
Review of wind power scenario generation methods for optimal operation of renewable energy systems	114
Smart frequency control in low inertia energy systems based on frequency response techniques: A review	114
Wind power forecasting considering data privacy protection: A federated deep reinforcement learning approach	114
Application of upscaling methods for fluid flow and mass transport in multi-scale heterogeneous media: A critical review	113
Analysis on impact of shared energy storage in residential community: Individual versus shared energy storage	113
A hybrid load forecasting model based on support vector machine with intelligent methods for feature selection and parameter optimization	113
Multi-objective optimization of energy use and environmental emissions for walnut production using imperialist competitive algorithm	112
Photovoltaic power forecast based on satellite images considering effects of solar position	112
Quantification of the carbon intensity of electricity produced and used in Europe	111
Oil from plastic via hydrothermal liquefaction: Production and characterization	111
Enhancing building energy performance by effectively using phase change material and dynamic insulation in walls	110
Review and prospect of data-driven techniques for load forecasting in integrated energy systems	110
The EV revolution: The road ahead for critical raw materials demand	109
Machine learning modelling for predicting non-domestic buildings energy performance: A model to support deep energy retrofit decision-making	109
Hybrid renewable energy applications in zero-energy buildings and communities integrating battery and hydrogen vehicle storage	109