AI-Driven Climate-Resilient Clean Energy Technologies under Future Weather Extremes: Forecasting, Adaptation, and Net-Zero Transition Pathways

Submission deadline: 31 July 2027
Special Issue Editors:

Dr Samuel Chukwujindu Nwokolo   
Affiliation: Atmospheric Physics/Meteorology Programme, Department of Physics, Faculty of Physical Sciences, University of Calabar, Calabar, Nigeria
Email: nwokolosc@unical.edu.ng
ORCID: https://orcid.org/0000-0001-6889-9022
Research Interest: photovoltaics, WECS, electronic power converters, electric power system, electric vehicles

Special Issue Information

Dear Colleagues:

Clean energy technologies are on the verge of a new era of decarbonisation, digital intelligence and climate resilience all designed together. PV, wind, bio, clean fuels and hybrid renewable systems, battery storage and smart grids are all growing and becoming more vulnerable to extreme heat, dust storms, fires, floods, humidity stress, changes in wind resources, drought, water scarcity, compound extremes and uncertainty caused by climate change. Meanwhile, there are new opportunities for forecasting performance losses, optimising system operation, directing adaptation investment and enabling net zero planning in the face of uncertain future weather conditions, all made possible by artificial intelligence, machine learning, digital twins, remote sensing, IoT monitoring, and climate services and scenario-based forecasting.

Contributions of high-quality original research articles, critical reviews, systematic reviews, modelling studies, field demonstrations, policy analyses and interdisciplinary perspectives are invited that can improve the field of climate-resilient and sustainability-orientated clean energy technologies that leverage artificial intelligence are welcome for this special issue. Special emphasis will be placed on research that combines climate projections, weather-extreme diagnostics, renewable-resource prediction, degradation modelling, uncertainty quantification, techno-economic analysis, and assessment of climate change adaptation and sustainability paths for clean energy deployment. The special issue seeks to create a knowledge platform that is forward-looking for researchers, engineers, policymakers, utilities, investors, and climate-energy planners, who are all looking for sound evidence for transitioning to clean energy under future climate stress.

Prospective contributions can include: Climate impacts on solar PV, wind energy, green hydrogen, batteries, fuel cells, thermal systems, microgrids, smart grids, energy storage, clean fuels and hybrid systems; AI and data-driven forecasting of renewable energy performance; digital twins for clean energy resilience; adaptation strategies for weather-exposed energy infrastructure; extreme-weather risk assessment; energy-water-land nexus challenges; circular economy and life-cycle sustainability; and pathways to net-zero transition in developed and developing regions. Comparative regional studies, applications in the Global South, open datasets, explainable AI methods, uncertainty-aware modelling frameworks and policy-ready tools that can assist in resilient, equitable, and bankable clean energy deployment are particularly welcome in the issue.

Dr Samuel Chukwujindu Nwokolo
Collection Editor

Keywords:

  • AI-driven clean energy technologies
  • Climate-resilient renewable energy systems
  • Future weather extremes
  • Compound climate risks
  • Solar photovoltaic performance forecasting
  • Wind energy variability
  • Renewable-resource variability
  • Green hydrogen production
  • Green hydrogen storage
  • Machine learning,
  • Explainable AI
  • Digital twins
  • CMIP6 climate scenarios
  • Climate services
  • Energy infrastructure adaptation and resilience
  • Battery storage,
  • Fuel cells
  • Hybrid renewable systems
  • Energy-water-land nexus
  • Water-risk assessment
  • Life-cycle sustainability
  • Circular clean energy systems
  • Net-zero transition pathways
  • Climate policy planning
  • Green energy policy planning