SMAP Energy

u_smap

SMAP Energy Platform promotes renewable energy usage with smart-meter data and gamification

TOKYO, 21 May 2019 – Spring DR, the latest project by SMAP Energy in partnership with Japanese energy supplier Looop, successfully concluded this week. 4000 Looop customers have taken part in the supplier’s latest campaign promoting renewable energy, where participants were rewarded for shifting their electricity usage with Amazon gift vouchers. In this article we will explain how …

SMAP Energy Platform promotes renewable energy usage with smart-meter data and gamificationRead More »

Preliminary results from Winter Demand Response campaign released

TOKYO, 22 February 2019 – Energy technology startup SMAP Energy is proud to announce the results of its Winter Demand Response (DR) savings campaign in collaboration with Japanese energy retailer Looop. This follows the successful result of the Looop Summer TOU Trial. This program was applied in winter to reward participants for reducing high energy …

Preliminary results from Winter Demand Response campaign releasedRead More »

SMAP Energy announces Winter Demand Response trial for Japanese domestic energy consumers

TOKYO, 21 December 2018 – Energy technology startup SMAP Energy is proud to announce the continuation of a fruitful collaboration with Japanese energy retailer Looop in the newly launched Winter Demand Response (DR) Savings campaign. This follows the successful result of the Looop Summer TOU trial.   DR vs TOU – Seizing a second opportunity As demonstrated …

SMAP Energy announces Winter Demand Response trial for Japanese domestic energy consumersRead More »

Successful results from trial of Japan’s first smart-meter-enabled TOU tariff

TOKYO, 26 November 2018 UK energy data analytics startup SMAP Energy and Japanese energy retailer Looop collaborated on the creation of Japan’s first smart-meter-enabled time of use (TOU) tariff. The program was novel in that it only relied on smart-meter data and SMAP Energy’s proprietary algorithms to optimise engagement. 1300 Japanese energy consumers joined the …

Successful results from trial of Japan’s first smart-meter-enabled TOU tariffRead More »

Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing Schemes

CAMBRIDGE, 23 Oct 2018 Authors: Eoghan O’Neill (Faculty of Economics, University of Cambridge, UK), Melvyn Weeks (Faculty of Economics and Clare College, University of Cambridge, UK) Full publication: Link We examine the distributional effects of the introduction of Time-of-Use (TOU) pricing schemes where the price per kWh of electricity usage depends on the time of …

Causal Tree Estimation of Heterogeneous Household Response to Time-Of-Use Electricity Pricing SchemesRead More »

We’re growing our AI energy analytics portfolio through Simulator – an application to improve I&C energy pricing

TOKYO, 18 October 2018 – SMAP Energy, alongside its partner Enechange, announces the commercial expansion of “SMAP Simulator”, an energy pricing application utilising AI energy analytics to improve forecasting precision, reduce quotation time, and allow energy suppliers to make highly competitive offers. “We are very pleased to be releasing SMAP Simulator, a quotation and planning tool …

We’re growing our AI energy analytics portfolio through Simulator – an application to improve I&C energy pricingRead More »

SMAP Energy becomes Solarcoin affiliate to incentivise global solar energy uptake & provide enhanced digital services to utility clients

SMAP Energy joins the SolarCoin Network as an affiliate to provide enhanced digital services to its utility clients and incentivise global solar energy installation. SolarCoin: A digital asset as a reward for producing solar power SolarCoin is described as the equivalent to airline miles for solar energy generation and acts as means to incentivizing for …

SMAP Energy becomes Solarcoin affiliate to incentivise global solar energy uptake & provide enhanced digital services to utility clientsRead More »

Demand Response Models for Smart Meter Data: Estimation of Conditional Average Treatment Effects Using Many Covariates – An Application to Electricity Smart Meter Trial Data

Lead Investigator: Dr. Melvyn Weeks, Faculty of Economics, University of Cambridge, UK Coauthor: Eoghan O’Neil, Faculty of Economics, University of Cambridge, UK The investigation of treatment effect heterogeneity is of interest in many fields including economics and personalised medicine. In some applications, there are many available covariates and functions of covariates that are plausibly associated …

Demand Response Models for Smart Meter Data: Estimation of Conditional Average Treatment Effects Using Many Covariates – An Application to Electricity Smart Meter Trial DataRead More »

Forecasting Intra-Day Load Profiles under Time-Of-Use tariffs Using Smart Meter Data

Authors Kiguchi Ya , Heo Yb,  Weeks Mc, Choudhary Rad a Department of Engineering, University of Cambridge, UK b School of Civil, Environmental, and Architectural Engineering, Korea University, South Korea c Faculty of Economics and Clare College, University of Cambridge, UK d Data-centric Engineering, Alan Turing Institute, UK   Publication Details Energy, Volume 173, 15 April 2019, Pages 959-970 Received 17 February 2018, Revised 9 December 2018, Accepted 9 …

Forecasting Intra-Day Load Profiles under Time-Of-Use tariffs Using Smart Meter DataRead More »