Progressive Household Profiling

Unlock personalized, data-driven insights that help you tailor energy management systems to every household’s unique needs.

Elevate Your HEMS with Intelligent Household Profiling

At MOOST, we believe that precision in understanding household energy behavior is key to creating smarter, more efficient Home Energy Management Systems (HEMS). Our advanced Recommender System incorporates detailed profiling features that enable HEMS providers to offer personalized energy solutions for any household. By leveraging data on motivations, consumption patterns, and future forecasts, MOOST helps you optimize every recommendation for the best possible outcome.

Key Profiling Features

Discover the key features of the MOOST Progressive Household Profiling

Motivation Score Graph

Motivation Score

Pinpoint the Primary Motivation Behind Energy Decisions

Understanding a household’s motivation for adopting a HEMS is crucial. MOOST uses a set of Motivation Scores that reveal what drives a household’s investment in energy infrastructure, such as solar PV, EV chargers, heat pumps, and more. These scores help you recommend the most relevant solutions based on the household’s key motivations:

 
Economical Score

Does the household prioritize financial savings and cost reduction?

 
Ecological Score

How important is environmental sustainability to the household?

 
Self-Sufficiency Score

How much does the household value energy independence and self-reliance?

Multi-Person Score

Adapt Recommendations Based on Household Demographics

The Multi-Person Score measures the number of residents in a household on a scale from 0 to 1, where 0 represents a single-person household and 1 indicates a multi-person household. This score is critical for understanding consumption behavior, as energy needs can vary significantly based on household size.

 
Single Person

Lower consumption, but may benefit from solutions that maximize energy independence.

 
Multi-Person Household

Higher energy demand, requiring scalable solutions that support more significant consumption, such as larger solar PV systems or multiple EV chargers.

Commercial Score

Differentiate Residential and Commercial Energy Needs

The Commercial Score allows MOOST to distinguish between residential and commercial properties, ensuring the right energy solutions are recommended. While residential households may prioritize energy independence, commercial properties are more likely to focus on energy efficiency and cost savings at scale.

 
Residential

Focus on optimizing personal energy usage, solar installations, and EV charging.

 
Commercial

Focus on large-scale solutions, optimizing energy efficiency, and reducing operational costs.

Load Profile

Visualize and Analyze Energy Usage in Real-Time

A household’s Load Profile gives an in-depth view of current energy consumption, helping HEMS providers understand when and how energy is being used. This feature is essential for recommending strategies to optimize consumption and reduce waste. By analyzing the load profile, providers can suggest the right infrastructure, such as storage solutions or optimized PV sizing.

Power Generation & Power Consumption Forecasting

Anticipate Future Energy Needs and Opportunities

MOOST enriches its profiles with Power Generation and Power Consumption Forecasts through advanced algorithms. By predicting future consumption and generation patterns, HEMS providers can offer proactive solutions that anticipate energy demand and offer guidance on when to charge, when to discharge, and when to optimize energy usage.

 
Power Generation Forecasting

Know how much energy will be produced by solar panels or wind systems.

 
Power Consumption Forecasting

Predict the household’s energy needs, optimizing when and how energy is consumed.

Base Load Consumption

Minimize Energy Waste by Identifying Base Load Consumption

By calculating a household’s Base Load Consumption, MOOST identifies the minimum level of energy a home consumes for essential operations, regardless of time-of-day or other activities. Understanding the base load enables providers to recommend systems that cover this essential energy demand, ensuring more cost-effective and efficient energy management.

Interaction Data

Tailor Recommendations Based on Household Preferences

MOOST also tracks household interactions with notifications from the Recommender System. We analyze which types of alerts, tips, and recommendations a household responds to most positively. This data helps HEMS providers refine their systems, ensuring that each household receives the most engaging and useful content.

 
Likes & Dislikes Analysis

Gain insights into which notifications resonate with the household and refine future recommendations.

 
Behavioral Trends

Adapt the system to match household preferences, increasing engagement and satisfaction.

Use Cases for HEMS Providers

Real-World Impact of MOOST Profiling on HEMS Solutions

MOOST’s profiling features allow HEMS providers to unlock new opportunities and deliver solutions that truly match the needs of each household.  Below is an extract from our Usecase Library. For the full use case overview see here.

Blog Lists
Reassure customers to continue optimizing towards self-sufficiency

Informing customers when they consistently excelImproving the setup and optimizing the timing of consumption devices is

cross-selling home battery to the right customer with personalized metrics
Helping customers to determine whether a home battery could be worthwhile

Inform customers who would really benefit from a home batteryConnecting a home battery can be highly beneficial for cer

Help customers leverage forecasts to shift consumption

Shifting consumption when low PV-generation is forecasted is key for both connected and non-connected assets.Assets wit

inform about self-sufficiency changes compared to solar energy generation
Inform customers about changes in their self-sufficiency

Self-sufficiency rate is interlinked with available solar powerAchieving strong self-sufficiency is the primary aim for

Low solar production forecast smart EV charging
Help customers prevent uncharged cars

Change charging mode when low PV generation is forecasted to ensure a fully charged car.While smart charging modes help

Running heat pump with solar energy pays off
Incentivize customers to use solar energy for their heat pump

Incentivize customers to use solar energy for their heat pump.Many customers are unaware about the possibilities home e

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