Distributed Solar: The Democratizaton of Energy
Blogroll
- Dominic Cummings blog Chief advisor to the PM, United Kingdom
- 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
- Karl Broman
- Beautiful Weeds of New York City
- NCAR AtmosNews
- Risk and Well-Being
- Number Cruncher Politics
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- Flettner Rotor Bruce Yeany introduces the Flettner Rotor and related science
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Harvard's Project Implicit
- 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.
- 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
- "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”
- London Review of Books
- What If
- International Society for Bayesian Analysis (ISBA)
- "Perpetual Ocean" from NASA GSFC
- Dr James Spall's SPSA
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- "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.
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- Ives and Dakos techniques for regime changes in series
- 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.”
- "The Expert"
- SASB Sustainability Accounting Standards Board
- 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
- Mertonian norms
- 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/.
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- Earth Family Alpha Michael Osborne’s blog (former Executive at Austin Energy, now Chairman of the Electric Utility Commission for Austin, Texas)
- Label Noise
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- WEAPONS OF MATH DESTRUCTION Cathy O’Neil’s WEAPONS OF MATH DESTRUCTION,
- Earle Wilson
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- Slice Sampling
- Darren Wilkinson's introduction to ABC Darren Wilkinson’s introduction to approximate Bayesian computation (“ABC”). See also his post about summary statistics for ABC https://darrenjw.wordpress.com/2013/09/01/summary-stats-for-abc/
- Leadership lessons from Lao Tzu
- The Plastic Pick-Up: Discovering new sources of marine plastic pollution
- Subsidies for wind and solar versus subsidies for fossil fuels
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- Gabriel's staircase
- Busting Myths About Heat Pumps Heat pumps are perhaps the most efficient heating and cooling systems available. Recent literature distributed by utilities hawking natural gas and other sources use performance figures from heat pumps as they were available 15 years ago. See today’s.
- 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.
- distributed solar and matching location to need
- "Talking Politics" podcast David Runciman, Helen Thompson
climate change
- Solar Gardens Community Power
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- "Getting to the Energy Future We Want," Dr Steven Chu
- Wally Broecker on climate realism
- The Scientific Case for Modern Human-caused Global Warming
- Exxon-Mobil statement on UNFCCC COP21
- "Climate science is setttled enough"
- Interview with Wally Broecker Interview with Wally Broecker
- Anti—Anti-#ClimateEmergency Whether to declare a climate emergency is debatable. But some critics have gone way overboard.
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Eli on the spectroscopic basis of atmospheric radiation physical chemistry
- Risk and Well-Being
- Thriving on Low Carbon
- The Keeling Curve The first, and one of the best programs for creating a spatially significant long term time series of atmospheric concentrations of CO2. Started amongst great obstacles by one, smart determined guy, Charles David Keeling.
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- RealClimate
- Earth System Models
- Sea Change Boston
- "A field guide to the climate clowns"
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- “Ways to [try to] slow the Solar Century''
- 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
- Climate at a glance Current state of the climate, from NOAA
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Bloomberg interactive graph on “What's warming the world''
- Berkeley Earth Surface Temperature
- Jacobson WWS literature index
- "When Did Global Warming Stop" Doc Snow’s treatment of the denier claim that there’s been no warming for the most recent N years. (See http://hubpages.com/@doc-snow for more on him.)
- Isaac Held's blog In the spirit of Ray Pierrehumbert’s “big ideas come from small models” in his textbook, PRINCIPLES OF PLANETARY CLIMATE, Dr Held presents quantitative essays regarding one feature or another of the Earth’s climate and weather system.
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- Sir David King David King’s perspective on climate, and the next thousands of years for humanity
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- 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.
- Skeptical Science
- Rabett Run Incisive analysis of climate science versus deliberate distraction
- The great Michael Osborne's latest opinions Michael Osborne is a genius operative and champion of solar energy. I have learned never to disregard ANYTHING he says. He is mentor of Karl Ragabo, and the genius instigator of the Texas renewable energy miracle.
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Spectra Energy exposed
- David Appell's early climate science
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- "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.
- Ice and Snow
- The Sunlight Economy
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Mrooijer's Global Temperature Explorer
- Agendaists Eli Rabett’s coining of a phrase
- Climate Change Denying Organizations
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
Archives
Jan Galkowski
Category Archives: regression
Phase Plane plots of COVID-19 deaths with uncertainties
I. Introduction. It’s time to fulfill the promise made in “Phase plane plots of COVID-19 deaths“, a blog post from 2nd May 2020, and produce the same with uncertainty clouds about the functional trajectories(*). To begin, here are some assumptions … Continue reading
Posted in American Statistical Association, Andrew Harvey, anomaly detection, count data regression, COVID-19, dependent data, dlm package, Durbin and Koopman, dynamic linear models, epidemiology, filtering, forecasting, Kalman filter, LaTeX, model-free forecasting, Monte Carlo Statistical Methods, numerical algorithms, numerical linear algebra, population biology, population dynamics, prediction, R, R statistical programming language, regression, statistical learning, stochastic algorithms
Tagged prediction intervals
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Calculating Derivatives from Random Forests
(Comment on prediction intervals for random forests, and links to a paper.) (Edits to repair smudges, 2020-06-28, about 0945 EDT. Closing comment, 2020-06-30, 1450 EDT.) There are lots of ways of learning about mathematical constructs, even about actual machines. One … Continue reading
Posted in bridge to somewhere, Calculus, dependent data, dynamic generalized linear models, dynamical systems, ensemble methods, ensemble models, filtering, forecasting, hierarchical clustering, linear regression, model-free forecasting, Monte Carlo Statistical Methods, non-mechanistic modeling, non-parametric model, non-parametric statistics, numerical algorithms, prediction, R statistical programming language, random forests, regression, sampling, splines, statistical learning, statistical series, statistics, time derivatives, time series
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New COVID-19 incidence in the United States as AR(1) processes
There are several sources of information regarding Covid-19 incidence now available. This post uses data from a single source: the COVID Tracking Project. In particular I restrict attention to cumulative daily case counts for the United States, the UK, and … Continue reading
Posted in coronavirus, COVID-19, epidemiology, pandemic, regression, SARS-CoV-2
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ecoquant
