Distributed Solar: The Democratizaton of Energy
Blogroll
- Mertonian norms
- 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
- Risk and Well-Being
- Mark Berliner's video lecture "Bayesian mechanistic-statistical modeling with examples in geophysical settings"
- 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”
- Leadership lessons from Lao Tzu
- 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.
- 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.
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- Karl Broman
- Brendon Brewer on Overfitting Important and insightful presentation by Brendon Brewer on overfitting
- Earth Family Beta MIchael Osborne’s blog on Science and the like
- "Perpetual Ocean" from NASA GSFC
- Peter Congdon's Bayesian statistical modeling Peter Congdon’s collection of links pertaining to his several books on Bayesian modeling
- Ted Dunning
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- International Society for Bayesian Analysis (ISBA)
- Ives and Dakos techniques for regime changes in series
- Awkward Botany
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- Leverhulme Centre for Climate Change Mitigation
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Pat's blog While it is described as “The mathematical (and other) thoughts of a (now retired) math teacher”, this is false humility, as it chronicles the present and past life and times of mathematicians in their context. Recommended.
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- distributed solar and matching location to need
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- Gabriel's staircase
- 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.
- Charlie Kufs' "Stats With Cats" blog “You took Statistics 101. Now what?”
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- ggplot2 and ggfortify Plotting State Space Time Series with ggplot2 and ggfortify
- Gavin Simpson
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- Team Andrew Weinberg Walking September 8th for the Jimmy Fund!
- BioPython A collection of Python tools for quantitative Biology
- Healthy Home Healthy Planet
- AP Statistics: Sampling, by Michael Porinchak Twin City Schools
- 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
- Brian McGill's Dynamic Ecology blog Quantitative biology with pithy insights regarding applications of statistical methods
- OOI Data Nuggets OOI Ocean Data Lab: The Data Nuggets
- Label Noise
- 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/.
- John Cook's reasons to use Bayesian inference
- Los Alamos Center for Bayesian Methods
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION This is a PDF version of Lenny Smith’s book of the same title, also available from Amazon.com
- Musings on Quantitative Paleoecology Quantitative methods and palaeoenvironments.
- James' Empty Blog
- Giant vertical monopolies for energy have stopped making sense
- Number Cruncher Politics
climate change
- CLIMATE ADAM Previously from the Science news staff at the podcast of Nature (“Nature Podcast”), the journal, now on YouTube, encouraging climate action through climate comedy.
- Ellenbogen: There is no Such Thing as Wind Turbine Syndrome
- Bloomberg interactive graph on “What's warming the world''
- 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
- "Climate science is setttled enough"
- `The unchained goddess' 1958 Bell Telephone Science Hour broadcast regarding, among other things, climate change.
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Jacobson WWS literature index
- 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.
- Grid parity map for Solar PV in United States
- Transitioning to fully renewable energy Professor Saul Griffiths talks to transitioning the customer journey, from a dependency upon fossil fuels to an electrified future
- Ice and Snow
- 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
- “The discovery of global warming'' (American Institute of Physics)
- "Getting to the Energy Future We Want," Dr Steven Chu
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- Social Cost of Carbon
- Simple models of climate change
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- James Powell on sampling the climate consensus
- Energy payback period for solar panels Considering everything, how long do solar panels have to operate to offset the energy used to produce them?
- Wally Broecker on climate realism
- Ray Pierrehumbert's site related to "Principles of Planetary Climate" THE book on climate science
- Mrooijer's Global Temperature Explorer
- RealClimate
- Interview with Wally Broecker Interview with Wally Broecker
- MIT's Climate Primer
- Agendaists Eli Rabett’s coining of a phrase
- Solar Gardens Community Power
- Professor Robert Strom's compendium of resources on climate change Truly excellent
- Jacobson WWS literature index
- HotWhopper: It's excellent. Global warming and climate change. Eavesdropping on the deniosphere, its weird pseudo-science and crazy conspiracy whoppers.
- Climate impacts on retail and supply chains
- Reanalyses.org
- The Scientific Case for Modern Human-caused Global Warming
- Climate Change Reports By John and Mel Harte
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- Exxon-Mobil statement on UNFCCC COP21
- Berkeley Earth Surface Temperature
- On Thomas Edison and Solar Electric Power
- NOAA Annual Greenhouse Gas Index report The annual assessment by the National Oceanic and Atmospheric Administration of the radiative forcing from constituent atmospheric greenhouse gases
- All Models Are Wrong Dr Tamsin Edwards blog about uncertainty in science, and climate science
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- Documenting the Climate Deniarati at work
- Earth System Models
- Dessler's 6 minute Greenhouse Effect video
- Tell Utilities Solar Won't Be Killed Barry Goldwater, Jr’s campaign to push for solar expansion against monopolistic utilities, as a Republican
- "Warming Slowdown?" (part 1 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. In two parts.
Archives
Jan Galkowski
Category Archives: statistical learning
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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