Distributed Solar: The Democratizaton of Energy
Blogroll
- 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
- What If
- All about Sankey diagrams
- Bob Altemeyer on authoritarianism (via Dan Satterfield) The science behind the GOP civil war
- International Society for Bayesian Analysis (ISBA)
- 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/.
- Nadler Strategy, LLC, on sustainability Thinking about business, efficient and effective management, and business value
- The Alliance for Securing Democracy dashboard
- WEAPONS OF MATH DESTRUCTION, reviews Reviews of Cathy O’Neil’s new book
- Mrooijer's Numbers R 4Us
- Dollars per BBL: Energy in Transition
- Ives and Dakos techniques for regime changes in series
- American Statistical Association
- 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”
- 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
- All about models
- American Association for the Advancement of Science (AAAS)
- Subsidies for wind and solar versus subsidies for fossil fuels
- "Consider a Flat Pond" Invited talk introducing systems thinking, by Jan Galkowski, at First Parish in Needham, UU, via Zoom
- 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.
- James' Empty Blog
- Giant vertical monopolies for energy have stopped making sense
- Fear and Loathing in Data Science Cory Lesmeister’s savage journey to the heart of Big Data
- Quotes by Nikola Tesla Quotes by Nikola Tesla, including some of others he greatly liked.
- Los Alamos Center for Bayesian Methods
- The Mermaid's Tale A conversation about biological complexity and evolution, and the societal aspects of science
- "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.
- "Talking Politics" podcast David Runciman, Helen Thompson
- Gabriel's staircase
- distributed solar and matching location to need
- Patagonia founder Yvon Chouinard on how businesses can help our collective environmental mess Patagonia’s Yvon Chouinard set the standard for how a business can mitigate the ravages of capitalism on earth’s environment. At 81 years old, he’s just getting started.
- Tony Seba Solar energy, electric vehicle, energy storage, and business disruption professor and visionary
- Gavin Simpson
- Label Noise
- 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.
- SASB Sustainability Accounting Standards Board
- GeoEnergy Math Prof Paul Pukite’s Web site devoted to energy derived from geological and geophysical processes and categorized according to its originating source.
- "The Expert"
- Leadership lessons from Lao Tzu
- 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
- Survey Methodology, Prof Ron Fricker http://faculty.nps.edu/rdfricke/
- 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
- Rasmus Bååth's Research Blog Bayesian statistics and data analysis
- 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.
- John Cook's reasons to use Bayesian inference
- Thaddeus Stevens quotes As I get older, I admire this guy more and more
- 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.”
- Dr James Spall's SPSA
- South Shore Recycling Cooperative Materials management, technical assistance and networking, town advocacy, public outreach
- Carl Safina's blog One of the wisest on Earth
climate change
- Climate impacts on retail and supply chains
- "Lessons of the Little Ice Age" (Farber) From Dan Farber, at LEGAL PLANET
- SolarLove
- "A field guide to the climate clowns"
- Updating the Climate Science: What path is the real world following? From Professors Makiko Sato & James Hansen of Columbia University
- Climate at a glance Current state of the climate, from NOAA
- Documenting the Climate Deniarati at work
- Wally Broecker on climate realism
- Non-linear feedbacks in climate (discussion of Bloch-Johnson, Pierrehumbert, Abbot paper) Discussion of http://onlinelibrary.wiley.com/wol1/doi/10.1002/2015GL064240/abstract
- Sea Change Boston
- The net average effect of a warming climate is increased aridity (Professor Steven Sherwood)
- Bloomberg interactive graph on “What's warming the world''
- Équiterre Equiterre helps build a social movement by encouraging individuals, organizations and governments to make ecological and equitable choices, in a spirit of solidarity.
- Jacobson WWS literature index
- Mrooijer's Global Temperature Explorer
- Tamino's Open Mind Open Mind: A statistical look at climate, its science, and at science denial
- "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.)
- Klaus Lackner (ASU), Silicon Kingdom Holdings (SKH) Capturing CO2 from air at scale
- Interview with Wally Broecker Interview with Wally Broecker
- Wind sled Wind sled: A zero carbon way of exploring ice sheets
- RealClimate
- Simple box models and climate forcing IMO one of Tamino’s best posts illustrating climate forcing using simple box models
- David Appell's early climate science
- James Hansen and granddaughter Sophie on moving forward with progress on climate
- The Carbon Cycle The Carbon Cycle, monitored by The Carbon Project
- 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.
- On Thomas Edison and Solar Electric Power
- Dessler's 6 minute Greenhouse Effect video
- Solar Gardens Community Power
- Jacobson WWS literature index
- Climate Change Reports By John and Mel Harte
- Climate Change Denying Organizations
- "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.
- ATTP summarizes all that stuff about Committed Warming from AND THEN THERE’S PHYSICS
- History of discovering Global Warming From the American Institute of Physics.
- SOLAR PRODUCTION at Westwood Statistical Studios Generation charts for our home in Westwood, MA
- James Powell on sampling the climate consensus
- The HUMAN-caused greenhouse effect, in under 5 minutes, by Bill Nye
- Nick Bower's "Scared Scientists"
- Spectra Energy exposed
- weather blocking patterns
- Andy Zucker's "Climate Change and Psychology"
- 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
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Climate model projections versus observations
- “The Irrelevance of Saturation: Why Carbon Dioxide Matters'' (Bart Levenson)
- Thriving on Low Carbon
- Climate Communication Hassol, Somerville, Melillo, and Hussin site communicating climate to the public
- Social Cost of Carbon
- The Sunlight Economy
Archives
Jan Galkowski
Category Archives: non-mechanistic modeling
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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Reanalysis of business visits from deployments of a mobile phone app
Updated, 20th October 2020 This reports a reanalysis of data from the deployment of a mobile phone app, as reported in: M. Yauck, L.-P. Rivest, G. Rothman, “Capture-recapture methods for data on the activation of applications on mobile phones“, Journal … Continue reading
Posted in Bayesian computational methods, biology, capture-mark-recapture, capture-recapture, Christian Robert, count data regression, cumulants, diffusion, diffusion processes, Ecological Society of America, ecology, epidemiology, experimental science, field research, Gibbs Sampling, Internet measurement, Jean-Michel Marin, linear regression, mark-recapture, mathematics, maximum likelihood, Monte Carlo Statistical Methods, multilist methods, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerics, open source scientific software, Pierre-Simon Laplace, population biology, population dynamics, quantitative biology, quantitative ecology, R, R statistical programming language, sampling, sampling algorithms, segmented package in R, statistical ecology, statistical models, statistical regression, statistical series, statistics, stepwise approximation, stochastic algorithms, surveys, V. M. R. Muggeo
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Stream flow and P-splines: Using built-in estimates for smoothing
Mother Brook in Dedham Massachusetts was the first man-made canal in the United States. Dug in 1639, it connects the Charles River at Dedham, to the Neponset River in the Hyde Park section of Boston. It was originally an important … Continue reading
Posted in American Statistical Association, citizen data, citizen science, Clausius-Clapeyron equation, Commonwealth of Massachusetts, cross-validation, data science, dependent data, descriptive statistics, dynamic linear models, empirical likelihood, environment, flooding, floods, Grant Foster, hydrology, likelihood-free, meteorological models, model-free forecasting, non-mechanistic modeling, non-parametric, non-parametric model, non-parametric statistics, numerical algorithms, precipitation, quantitative ecology, statistical dependence, statistical series, stream flow, Tamino, the bootstrap, time series, water vapor
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Series, symmetrized Normalized Compressed Divergences and their logit transforms
(Major update on 11th January 2019. Minor update on 16th January 2019.) On comparing things The idea of a calculating a distance between series for various purposes has received scholarly attention for quite some time. The most common application is … Continue reading
Posted in Akaike Information Criterion, bridge to somewhere, computation, content-free inference, data science, descriptive statistics, divergence measures, engineering, George Sughihara, information theoretic statistics, likelihood-free, machine learning, mathematics, model comparison, model-free forecasting, multivariate statistics, non-mechanistic modeling, non-parametric statistics, numerical algorithms, statistics, theoretical physics, thermodynamics, time series
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ecoquant
