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Energy and Environment Group, Department of CST
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This list is for the CST Energy and Environment Group If you have a question about this list, please contact: Srinivasan Keshav; Madeline Lisaius; lyr24; CRSD Team. If you have a question about a specific talk, click on that talk to find its organiser. 7 upcoming talks and 87 talks in the archive. Using Low-cost, Research-led, Decentralised Networks to Increase Access to High Quality Microspatial Data on Building Stocks, and the Built and Natural Infrastructure
Barlow Twins Earth Foundation Model
Decoding Fungal Trade Algorithms for Carbon Drawdown
What EEG Members Would Like from the Group
Optimising Sustainable Energy with Functional Programming
Smart Grid Trust Assessment
Conservation Evidence
Using Machine Learning to Improve Protected Area Management
Combined Talks: Long-term Biodiversity Monitoring at Scale & Collecting Deep Population Data for Amphibians with a Simple Phone and an ML Vision
Tracking 30-year Tropical Forest Biomass Loss and Recovery Based on a Spatially-explicit Bookkeeping Model with Earth Observations
A CarbonFirst Approach for Decarbonizing Cloud Computing
How a Positive Tipping Point Cascade in Power, Transport and Heating Can Accelerate the Low Carbon Transition
Challenges in Cyber-Physical Energy Systems - of Agents and Data
Visual Digital Twins of Forests
Partner-driven Environmental Sensing: Co-design with Indigenous Ojibwe Scientists
Real-time Wildlife Monitoring
Grid-friendly Energy Community Coordination for Reducing Grid Reinforcement Needs
Annual Monitoring of Forest AGB over a Period of 10 years Using SSL-derived Representations from Optical Time Series
HyWay: Enabling Mingling in the Hybrid World
Tackling the Hidden Costs of Computational Science: GREENER Principles for Environmentally Sustainable Research
An App for Tree Trunk Diameter Estimation from Coarse Optical Depth Maps
Internet Connectivity in the Global South: Challenges and Lessons Learned
SOPEVS: Sizing and Operation of PV-EV-Integrated Modern Homes
Automated Fact-Checking of Climate Change Claims with Large Language Models
Digital Participatory Tools for Rural Communities in India to Adapt to Climate Change
Using AI to Accelerate Evidence Synthesis and Decision Support to Save Biodiversity
Transforming Your Understanding of Large Language Models: A Primer
Mechanisms Against Climate Change
Tracking Compound Heat and Humidity Impacts
Towards Global, General-Purpose Geographic Location Encoders
The Future of 24/7 Clean Energy driven by AI
Renewables as Reserve Providers; Turning a Challenge into an Opportunity
Analyzing the Impacts of Extreme Heat on Buildings
Challenges in Computing Climate Sensitivity and Climate Solutions: Examples from Glaciology and CO2 Storage
AI-Refined Radiative Transfer Modelling to Retrieve Biophysical Variables in Forests
Reimagining Urban Energy: Policy Implications of Bidirectional Electric Vehicles, Solar Energy, and Work-from-Home Trends
Carbon Clarity in the Global Petrochemical Supply Chain
Group Discussion - What I Wish I Had Known Earlier in My Research Career
Uncertainty at Scale: How CS Hinders Climate Research
Programming for the Planet: the challenges of repeatable and reproducible computing for enviromental sciences
If a Tree Falls in the Forest, Does It Cause a Fire?
The Real Information in Climate Simulations
Full-waveform LiDAR and Scalability of Forests Plots
Batteries beyond Power Supplies
Telling Tree Stories through Laser Scans and AI
Forest biomass mapping and monitoring with NASA Lidars
From open source and open data to “open computation”: a climate science perspective
Tokenized Carbon Credits
Designing PV-EV integrated Residential Microgrids
Taking the Long View: Enhancing Learning On Multi-Temporal, High-Resolution, and Disparate Remote Sensing Data for Measuring the Spread of Buildings
Creating a High-Resolution Canopy Height Map of the Earth
Measuring Small-scale Tropical Forest Disturbance with GEDI
Computational Agroecology: Rethinking Agriculture with State Spaces
Fast Tagging of Pollinator Field Videos with Convolutional Tsetlin Machines
Identifying direct deforestation drivers in sub-Saharan Africa using deep learning and high-resolution satellite imagery
Parallel Universes, Parallel Processing: Using expired weather forecasts to supply up to 10 000 years of weather data (on an HPC cluster)
Narrowing Precipitation Uncertainty over High Mountain Asia with Probabilistic Machine Learning
Dynamic Distribution Network Reconfiguration with Generation and Load Uncertainty
Data-driven Building Energy Systems: Applications, Platforms, and Benchmarking
Designing PV-EV Integrated Residential Microgrids in the post-COVID World
The Case for Planetary Computing
Generative Model in Remote Sensing: the role and applications of radiative transfer models in the optical spectral domain for environmental studies
Assessing the Impact of Drought on Tropical Forests using GEDI
Remote sensing enables monitoring life above and under water
Competitive Online Peak-Demand Minimization using Energy Storage
Why and how measuring energy consumption of Internet services? Illustration on VoD
New framework for carbon offsets in global drylands
New framework for carbon offsets in global drylands
Using SSL to create useful representations from corrupted spectral-temporal data for applications in agriculture
CityLearn: An OpenAI Gym Framework for Grid-Interactive Buildings
Research Avenues for Net-Zero Carbon Cloud Datacenters
Ecovisor: A Virtual Energy System for Carbon-Efficient Applications
The value of high resolution remote sensing to understand forests
Machine Learning in Climate Action
Quantifying changes in Above Ground Biomass in degraded and restored forests: Challenges & opportunities
Challenges in Designing Control Strategies for Buildings
A framework for measuring biodiversity impacts of land use change
Measuring emissions by satellite to support the Paris Agreement
Upcoming BIOMASS Earth Explorer 7 mission: concept and validation challenges
Investigating forest dynamics and functioning in response to disturbances through individual-based modeling
Assessing indirect business risk from climate change
Optimization-in-the-loop AI for energy and climate
Fusing GEDI and Landsat data to estimate tropical forest recovery rates across the Amazon
Towards a single controller that can make many buildings a little greener
Bringing Trust to Carbon Credits Through Computer Science
Please see above for contact details for this list. |
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Polly Hudson, Senior Research Fellow, The Alan Turing Institute.
Friday 14 February 2025, 13:00-13:55