Consulting

Consulting

Minnesota Value of Solar: Methodology

The Value of Solar methodology developed on behalf of the Minnesota Department of Commerce, and approved by the...

2014 Value of Solar at Austin Energy

This report and presentation summarizes a Value of Solar® study conducted for Austin Energy in the fall of 2013....

Behind-the-Meter PV Fleet Forecasting

Grid-connected PV in the U.S. has grown substantially over the past several years and grid operators are increasingly...

The Value of Distributed Solar Electric Generation to San Antonio

This Value of Solar® study was prepared for Solar San Antonio under a Department of Energy SunShot Initiative grant....

Photovoltaic Incentive Design Handbook

This handbook will help agencies and utilities select, design, and implement incentive programs that best meet...

CSI RD&D Grant Awarded to Clean Power Research Brightens Future of PV Grid Integration

PRESS RELEASE March 12, 2012 Three CSI RD&D projects to use SolarAnywhere™ forecast irradiance data NAPA, Calif. –...

Solar Power Generation in the US: Too Expensive or a Bargain?

This article identifies the combined value that solar electric power plants deliver to utilities’ rate payers and...

The Benefits of Distributed Resources to Local Governments: An Introduction

Examines how local governments can benefit from and encourage the use of distributed resources. Download PDF...

A Micro-Grid with PV, Fuel Cells and Energy Efficiency

This article provides an evaluation of the economic potential of a micro-grid composed of PV, fuel cells and energy...

Blog

The new SolarAnywhere® Probabilistic Forecast enhances risk management
The new SolarAnywhere® Probabilistic Forecast enhances risk management

PV forecasts are important for energy scheduling and grid stability. Traditional methods for near-term forecasts involve blending an ensemble of Numerical Weather Predictions (NWPs) into a single deterministic output, which is favored because it is simple to implement in operations. However, deterministic forecasts do not convey any information about marginal risks or the propensity for […]

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Streamlining Large Load Request Workflows
Streamlining Large Load Request Workflows

This year’s DTECH Data Centers and AI conference made it clear that in the era of AI and data centers, large load requests are hitting utilities faster and at greater scale than ever before. Policy, pricing, supply chain, and physical infrastructure are well-known...

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