Predictive Research

For Energy Investors

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New: Lium solarSAT™

  • Satellites trained on ~350 potential U.S. solar projects
  • Daily changes monitored to track ground breaking (FirstDIRT™), panel delivery, and installation
  • Data aggregated into various datasets and monthly summary products
  • Data analyzed at both project and company level

Eliminate guesswork, surprises, and lagging data from your decision making.
Get solarSAT™.
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Reports & Data Designed For:

Public Company Investors​

Identify winners and losers. Understand addressable market. Fundamental forecasts, trends, and reports. Primary and boots-on-the-ground data that challenge status quo and supports investment thesis.

Private Equity Investors​

Identify high growth niches. Cut the noise and avoid value traps. Find opportunities to deploy capital. Reliable forecasts and fundamental data. Primers and market overview reports. Gauge exit timing. Stay ahead of the industry.

Industry Executives

Market positioning and strategy. Competitive landscape and addressable market. Board and investor meeting preparation. Forecasts and trends. Stay ahead of peers. Supply chain, cost, and price discovery.

Sample Research

Impactful RESEARCH:

Utility-Scale Solar

Predictive reports and data leveraging satellite intel. Bottoms-up modeling of grid scale solar project pipeline in real-time. Utilization tracking for installed base. Tracker market intelligence and forecasting.

Residential Solar

Weekly permit data for 70% of the U.S. market. State-by-state tracking and forecasting for installations. Predictive model for generation and capacity. Reports on market trends.

U.S. Wind Power Market

Offshore wind project and supply chain data and reports. Onshore wind farm modeling – generation, utilization, degradation, and resource.

Energy Storage Systems (BTM & FTM)

Bottoms-up project modeling and forecasting in the grid scale battery storage market (standalone and collocated). Cost models and near real-time project tracking. Predictive market reports incorporating satellite intel.

Shale Production & Services

Comprehensive modeling and forecasting of key shale drivers: spending, wells, rigs, frac crews, sand, mines, logistics, and more. Predictive reports incorporating satellite & boots-on-the-ground intel.

Trusted Knowledge Partners

Lium clients include Fortune 500 companies, private equity firms, hedge funds, mutual funds, private companies, and more. Find LIUM data frequently cited in the mainstream financial press.

Experience Lium Research

Data Synthesis For Energy Markets

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CONTACT US
Who We Are
Before joining forces to create Lium, the firm’s partners independently built their own market research firms (Coras Research and Infill Thinking). Each of these platforms established long track records of accurate forecasts and influential publishing in energy markets. Lium’s approach is a hybrid research model incorporating data service, equity research, and thematic market intelligence.
Veteran Leadership
Careers
WHAT MAKES OUR RESEARCH DIFFERENT
Lium’s proprietary Data Synthesis methodology harvests, digests, back-tests, and refines big data from many sources, including satellite imagery, in the energy marketplace in order to illuminate key investment themes.
DATA SYNTHESIS
DATA SYNTHESIS
Predictive algorithms are developed and applied to our big data to generate macro predictions and company revenue projections.
PREDICTIVE MODELING
PREDICTIVE MODELING
Field level observations, boots-on-the-ground, channel checks, human experience, and common sense are blended into the big data equation to optimize conclusions about future outcomes. At every turn, human experience, knowledge, and firsthand observations are incorporated into the product – from the first digit of data collected to the final presentation.
HUMAN TOUCH
HUMAN TOUCH
As former energy investors ourselves, our team thinks like our clients - Lium data interfaces and reports emphasize interaction, flexibility, visualization, and transparency for capital allocators.
PRACTICAL PRESENTATION
PRACTICAL PRESENTATION
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