### Distributed Solar: The Democratizaton of Energy

### Blogroll

- Hermann Scheer
- Awkward Botany
- Gabriel's staircase
- Lenny Smith's CHAOS: A VERY SHORT INTRODUCTION
- Subsidies for wind and solar versus subsidies for fossil fuels
- Thaddeus Stevens quotes
- Ted Dunning
- AP Statistics: Sampling, by Michael Porinchak
- International Society for Bayesian Analysis (ISBA)
- WEAPONS OF MATH DESTRUCTION

### climate change

- The beach boondoggle
- "Getting to the Energy Future We Want," Dr Steven Chu
- On Thomas Edison and Solar Electric Power
- Energy payback period for solar panels
- Ricky Rood's “What would happen to climate if we (suddenly) stopped emitting GHGs today?
- Steve Easterbrook's excellent climate blog: See his "The Internet: Saving Civilization or Trashing the Planet?" for example
- All Models Are Wrong
- “Ways to [try to] slow the Solar Century''
- Thriving on Low Carbon
- Earth System Models

### Archives

# Category Archives: normalized compression divergence

## Procrustes tangent distance is better than SNCD

I’ve written two posts here on using a Symmetrized Normalized Compression Divergence or SNCD for comparing time series. One introduced the SNCD and described its relationship to compression distance, and the other applied the SNCD to clustering days at a … Continue reading

Posted in data science, dependent data, descriptive statistics, divergence measures, hydrology, Ian Dryden, information theoretic statistics, J.T.Kent, Kanti Mardia, non-parametric statistics, normalized compression divergence, quantitative ecology, R statistical programming language, spatial statistics, statistical series, time series
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## A look at an electricity consumption series using SNCDs for clustering

(Slightly amended with code and data link, 12th January 2019.) Prediction of electrical load demand or, in other words, electrical energy consumption is important for the proper operation of electrical grids, at all scales. RTOs and ISOs forecast demand based … Continue reading

Posted in American Statistical Association, consumption, data streams, decentralized electric power generation, dendrogram, divergence measures, efficiency, electricity, electricity markets, energy efficiency, energy utilities, ensembles, evidence, forecasting, grid defection, hierarchical clustering, hydrology, ILSR, information theoretic statistics, local self reliance, Massachusetts, microgrids, NCD, normalized compression divergence, numerical software, open data, prediction, rate of return regulation, Sankey diagram, SNCD, statistical dependence, statistical series, statistics, sustainability, symmetric normalized compression divergence, time series
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