Distributed Solar: The Democratizaton of Energy
Blogroll
- "Perpetual Ocean" from NASA GSFC
- Giant vertical monopolies for energy have stopped making sense
- American Statistical Association
- Simon Wood's must-read paper on dynamic modeling of complex systems I highlighted Professor Wood’s paper in https://hypergeometric.wordpress.com/2014/12/26/struggling-with-problems-already-attacked/
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- In Monte Carlo We Trust The statistics blog of Matt Asher, actually called the “Probability and Statistics Blog”, but his subtitle is much more appealing. Asher has a Manifesto at http://www.statisticsblog.com/manifesto/.
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- "The Expert"
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Higgs from AIR describing NAO and EA Stephanie Higgs from AIR Worldwide gives a nice description of NAO and EA in the context of discussing “The Geographic Impact of Climate Signals on European Winter Storms”
- Healthy Home Healthy Planet
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- Prediction vs Forecasting: Knaub “Unfortunately, ‘prediction,’ such as used in model-based survey estimation, is a term that is often subsumed under the term ‘forecasting,’ but here we show why it is important not to confuse these two terms.”
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Harvard's Project Implicit
- James' Empty Blog
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Gabriel's staircase
- The Alliance for Securing Democracy dashboard
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- Ives and Dakos techniques for regime changes in series
- Slice Sampling
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- American Association for the Advancement of Science (AAAS)
- Beautiful Weeds of New York City
- Mike Bloomberg, 2020 He can get progress on climate done, has the means and experts to counter the Trump and Republican digital disinformation machine, and has the experience, knowledge, and depth of experience to achieve and unify.
- John Cook's reasons to use Bayesian inference
- Logistic curves in market disruption From DollarsPerBBL, about logistic or S-curves as models of product take-up rather than exponentials, with notes on EVs
- Hermann Scheer Hermann Scheer was a visionary, a major guy, who thought deep thoughts about energy, and its implications for humanity’s relationship with physical reality
- Why It’s So Freaking Hard To Make A Good COVID-19 Model Five Thirty Eight’s take on why pandemic modeling is so difficult
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Awkward Botany
- Tim Harford's “More or Less'' Tim Harford explains – and sometimes debunks – the numbers and statistics used in political debate, the news and everyday life
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Risk and Well-Being
- Earle Wilson
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- distributed solar and matching location to need
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Comprehensive Guide to Bayes Rule
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- All about ENSO, and lunar tides (Paul Pukite) Historically, ENSO has been explained in terms of winds. But recently — and Dr Paul Pukite has insisted upon this for a long time — the oscillation of ENSO has been explained as a large-scale slosh due to lunar tidal forcing.
- Why "naive Bayes" is not Bayesian Explains why the so-called “naive Bayes” classifier is not Bayesian. The setup is okay, but estimating probabilities by doing relative frequencies instead of using Dirichlet conjugate priors or integration strays from The Path.
- Professor David Draper
- Karl Broman
climate change
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- `Who to believe on climate change': Simple checks By Bart Verheggen
- AIP's history of global warming science: impacts The American Institute of Physics has a fine history of the science of climate change. This link summarizes the history of impacts of climate change.
- The Sunlight Economy
- Climate Change: A health emergency … New England Journal of Medicine Caren G. Solomon, M.D., M.P.H., and Regina C. LaRocque, M.D., M.P.H., January 17, 2019 N Engl J Med 2019; 380:209-211 DOI: 10.1056/NEJMp1817067
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- “Ways to [try to] slow the Solar Century''
- "Impacts of Green New Deal energy plans on grid stability, costs, jobs, health, and climate in 143 countries" (Jacobson, Delucchi, Cameron, et al) Global warming, air pollution, and energy insecurity are three of the greatest problems facing humanity. To address these problems, we develop Green New Deal energy roadmaps for 143 countries.
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Dessler's 6 minute Greenhouse Effect video
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- Interview with Wally Broecker Interview with Wally Broecker
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- History of discovering Global Warming From the American Institute of Physics.
- Berkeley Earth Surface Temperature
- And Then There's Physics
- Jacobson WWS literature index
- Social Cost of Carbon
- MIT's Climate Primer
- Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example Heavy on data and computation, Easterbrook is a CS prof at UToronto, but is clearly familiar with climate science. I like his “The Internet: Saving Civilization or Trashing the Planet” very much.
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- "A field guide to the climate clowns"
- Warming slowdown discussion
- "Getting to the Energy Future We Want," Dr Steven Chu
- Climate model projections versus observations
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- "Warming Slowdown?" (part 2 of 2) The idea of a global warming slowdown or hiatus is critically examined, emphasizing the literature, the datasets, and means and methods for telling such. The second part.
- An open letter to Steve Levitt
- Simple models of climate change
- "Betting strategies on fluctuations in the transient response of greenhouse warming" By Risbey, Lewandowsky, Hunter, Monselesan: Betting against climate change on durations of 15+ years is no longer a rational proposition.
- James Powell on sampling the climate consensus
- "Mighty Microgrids" Webinar This is a Webinar on YouTube about Microgrids from the Institute for Local Self-Reliance (ILSR), featuring New York State and Minnesota
- Tuft's Professor Kenneth Lang on the physical chemistry of the Greenhouse Effect
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- The beach boondoggle Prof Rob Young on how owners of beach property are socializing their risks at costs to all of us, not the least being it seems coastal damage is less than it actually is
- The Green Plate Effect Eli Rabett’s “The Green Plate Effect”
- Climate change: Evidence and causes A project of the UK Royal Society: (1) Answers to key questions, (2) evidence and causes, and (3) a short guide to climate science
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- RealClimate
- Risk and Well-Being
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- On Thomas Edison and Solar Electric Power
- Spectra Energy exposed
- Climate impacts on retail and supply chains
- Wally Broecker on climate realism
- Thriving on Low Carbon
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- "Climate science is setttled enough"
Archives
Jan Galkowski
Category Archives: clustering
The Johnson-Lindenstrauss Lemma, and the paradoxical power of random linear operators. Part 1.
Updated, 2018-12-04 I’ll be discussing the ramifications of: William B. Johnson and Joram Lindenstrauss, “Extensions of Lipschitz mappings into a Hilbert space, Contemporary Mathematics, 26:189–206, 1984. for several posts here. Some introduction and links to proofs and explications will be … Continue reading
Posted in clustering, data science, dimension reduction, information theoretic statistics, Johnson-Lindenstrauss Lemma, k-NN, Locality Sensitive Hashing, mathematics, maths, multivariate statistics, non-parametric model, numerical algorithms, numerical linear algebra, point pattern analysis, random projections, recommender systems, science, stochastic algorithms, stochastics, subspace projection methods
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ecoquant
