{"id":172,"date":"2026-10-13T11:07:18","date_gmt":"2026-10-13T11:07:18","guid":{"rendered":"https:\/\/therisk.global\/energy-nexus\/?page_id=172"},"modified":"2026-10-13T17:01:15","modified_gmt":"2026-10-13T17:01:15","slug":"forecasting","status":"publish","type":"page","link":"https:\/\/therisk.global\/energy-nexus\/stem\/forecasting\/","title":{"rendered":"Forecasting for power systems"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/energy-nexus\/stem\/forecasting\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" 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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n2hgkqv4.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-hero\" data-layout=\"console\" aria-labelledby=\"nx-title-1\"><div class=\"nx-container\"><div class=\"nx-theme-toggle\" role=\"group\" aria-label=\"Appearance of this page\" hidden><button type=\"button\" data-mode=\"light\" aria-pressed=\"false\">Light<\/button><button type=\"button\" data-mode=\"dark\" aria-pressed=\"false\">Dark<\/button><button type=\"button\" data-mode=\"auto\" aria-pressed=\"true\">Auto<\/button><\/div><div class=\"nx-folio\" aria-label=\"Document reference\"><strong>G03 \u00b7 METHOD \u00b7 forecasting<\/strong>GCRI dossier \u00b7 service level R0<\/div><div class=\"nx-hero-grid\"><div class=\"nx-hero-text\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">GCRI<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Energy Nexus<\/span><span class=\"nx-eyebrow\" aria-hidden=\"true\">\u00b7<\/span><span class=\"nx-eyebrow\">Established<\/span><\/div><div class=\"nx-accent-row\"><span class=\"nx-accent-rule\" aria-hidden=\"true\"><\/span><span>Method page \u00b7 Forecasting and time-series analysis<\/span><\/div><h1 id=\"nx-title-1\" class=\"nx-hero-title\">Forecasting for power systems<\/h1><p class=\"nx-tagline\">Forecasting gives energy operators lead time: minutes to days for demand and renewable output, weeks to seasons for hydropower inflows and adequacy outlooks. The value lies in calibrated probabilities with stated skill, which let operators hold the right reserves at the right time.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/energy-nexus\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/energy-nexus\/stem\/\">Back to STEM foundation of Energy Nexus<\/a><\/div><\/div><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">forecasting<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Forecasting and time-series analysis<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/climate-hazards\/\">Climate and Hazards<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Energy Nexus<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">4 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">3 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/forecasting\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><p class=\"nx-register-foot\">GCRI \u00b7 Established \u00b7 service level R0<\/p><\/div><\/div><\/div><\/div><\/section> <nav class=\"nx-index-strip\" data-nx-spy=\"true\" aria-label=\"On this page\"><div class=\"nx-container\"><a href=\"#nx-sec-brief-answer\"><span>01<\/span>The short answer<\/a><a href=\"#nx-sec-application\"><span>02<\/span>What forecasting and time-series\u2026<\/a><a href=\"#nx-sec-terms\"><span>03<\/span>Terms used on this page<\/a><a href=\"#nx-sec-field\"><span>04<\/span>Energy demand and corridors in the\u2026<\/a><a href=\"#nx-sec-canvas\"><span>05<\/span>The method as a run graph<\/a><a href=\"#nx-sec-data\"><span>06<\/span>What the method consumes<\/a><a href=\"#nx-sec-checks\"><span>07<\/span>How results are checked<\/a><a href=\"#nx-sec-connections\"><span>08<\/span>Topics that rely on this method<\/a><\/div><\/nav> <section id=\"nx-sec-brief-answer\" class=\"nx-section\" data-hue=\"energy\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">In brief<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">The short answer.<\/h2><p class=\"nx-lede\">Load and renewable power forecasting is the prediction of electricity demand and wind and solar output from minutes to days ahead, and of inflows and adequacy weeks to seasons ahead. Calibrated probabilities with stated skill let operators hold the right reserves at the right time.<\/p><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"band\" aria-labelledby=\"nx-s-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">What forecasting and time-series analysis does here.<\/h2><p class=\"nx-lede\">Forecasting and time-series analysis predict future values of variables from past observations and explanatory information. They support early warning and planning across hazards, markets and health. In energy, critical infrastructure and climate and hazards, forecasts trigger early action and anticipatory finance before shocks materialise. Probabilistic forecasts allow decisions to account for uncertainty across connected systems. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/forecasting\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M22 12h-2.48a2 2 0 0 0-1.93 1.46l-2.35 8.36a.25.25 0 0 1-.48 0L9.24 2.18a.25.25 0 0 0-.48 0l-2.35 8.36A2 2 0 0 1 4.49 12H2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Load forecasting with weather<\/h3><p class=\"nx-p nx-mt-1\">Demand is forecast from temperature, calendar and economic drivers, with probabilistic ranges that widen with lead time and during temperature extremes.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M4 14a1 1 0 0 1-.78-1.63l9.9-10.2a.5.5 0 0 1 .86.46l-1.92 6.02A1 1 0 0 0 13 10h7a1 1 0 0 1 .78 1.63l-9.9 10.2a.5.5 0 0 1-.86-.46l1.92-6.02A1 1 0 0 0 11 14z\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Wind and solar power forecasts<\/h3><p class=\"nx-p nx-mt-1\">Ensemble weather forecasts are converted into power output for each region, so operators see the probability of ramps and low-output spells, not a single line.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M5 22h14\"\/><path d=\"M5 2h14\"\/><path d=\"M17 22v-4.172a2 2 0 0 0-.586-1.414L12 12l-4.414 4.414A2 2 0 0 0 7 17.828V22\"\/><path d=\"M7 2v4.172a2 2 0 0 0 .586 1.414L12 12l4.414-4.414A2 2 0 0 0 17 6.172V2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Seasonal adequacy outlooks<\/h3><p class=\"nx-p nx-mt-1\">Seasonal climate forecasts, reservoir levels and planned outages are combined into outlooks of supply margin for the coming winter or summer.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-sec-terms\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Key terms<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">Terms used on this page.<\/h2><p class=\"nx-lede\">Each term as this page uses it. Where a standard-setting body defines the term, the wording follows that body.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Term<\/th><th scope=\"col\">Definition<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Term\">Probabilistic forecast<\/td><td data-label=\"Definition\">A forecast given as a range of outcomes with probabilities rather than a single value.<\/td><\/tr><tr><td data-label=\"Term\">Forecast horizon<\/td><td data-label=\"Definition\">How far ahead a forecast predicts, from intraday to seasonal.<\/td><\/tr><tr><td data-label=\"Term\">Reserve requirement<\/td><td data-label=\"Definition\">The spare capacity an operator holds to cover forecast errors and outages.<\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><\/section><section id=\"nx-sec-field\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-5\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Geography<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Energy demand and corridors in the Nordic and Baltic region.<\/h2><p class=\"nx-lede\">Where demand concentrates in cities and the rail, road and port corridors that move fuel and equipment, shown for the Nordic and Baltic region as an example geography for this subject.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-map nx-cmap\" data-nx-map=\"ctx\" data-cmap=\"nordic-baltic:energy\" data-ramp=\"orange\" data-basis=\"case\" data-focus=\"0 0 2000 1400|751 241 1177 1195|1066 152 1430 882|543 80 1313 983|1119 1110 1350 1292\"><figure class=\"nx-fk\" data-fk=\"map-nordic-baltic-energy\" data-ramp=\"orange\" 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\"><figcaption class=\"nx-fk-cap\"><span>Where demand concentrates in cities and the rail, road and port corridors that move fuel and equipment.<\/span><span data-honesty=\"true\">Indicator derived from Natural Earth at map scale; a screening view, not an assessment.<\/span><\/figcaption><\/figure><div class=\"nx-live-slot nx-live-slot--map\" data-nxf-slot=\"map\" data-nxf-kind=\"map\" data-nxf-resource=\"nexus:\/\/gcri\/G03\/stem\/forecasting\/#map\" data-nxf-title=\"Energy Nexus live map\" data-nxf-height=\"560\" hidden><\/div><div class=\"nx-map-hud\"><span class=\"nx-eyebrow\">GCRI \u00b7 Energy Nexus \u00b7 field<\/span><span class=\"nx-eyebrow nx-map-hud-right\">DESIGN FIGURE<\/span><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-canvas\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" aria-labelledby=\"nx-s-6\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Canvas<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">The method as a run graph.<\/h2><p class=\"nx-lede\">Data from the source register feeds the methods; calibration and an independent test gate the estimate and its limits; the decision stays with the competent authority.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-plate\" data-wide=\"true\"><div class=\"nx-plate-label\"><span class=\"nx-eyebrow\"><strong>Method canvas<\/strong> \u00b7 Forecasting and time-series analysis as applied here<\/span><span class=\"nx-eyebrow\">Design, not a record<\/span><\/div><div class=\"nx-figure-frame\" data-scene=\"true\"><svg class=\"nx-figure nx-ui nx-dag\" viewBox=\"0 0 1200 564\" data-nx-dag=\"true\" data-w=\"1200\" data-h=\"564\" role=\"img\" aria-labelledby=\"nx-dag-g03-stem-forecasting-flood-ews-t nx-dag-g03-stem-forecasting-flood-ews-d\" data-nx-z=\"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\"><title id=\"nx-dag-g03-stem-forecasting-flood-ews-t\">Forecasting and time-series analysis in Energy Nexus: flood forecasting and warning chain<\/title><desc id=\"nx-dag-g03-stem-forecasting-flood-ews-d\">Rainfall forecasts drive a hydrological then a hydraulic model; inundation maps are compared with thresholds; the mandated authority issues the warning, it reaches people through every channel, and action follows. Design of the process, not a record of a run.<\/desc><\/svg><\/div><\/div><p class=\"nx-caption\"><strong>Fig. 01<\/strong><span>Nodes carry their type, metrics and state; connectors show what feeds what; the gates are the validation steps; the timeline is one application. Design of the method's use, not a record of a run.<\/span><\/p><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-7\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by forecasting and time-series analysis on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Ensemble numerical weather prediction<\/td><td data-label=\"Role\">Forecast forcing<\/td><td data-label=\"Label\"><span class=\"nx-chip\">FORECAST<\/span><\/td><\/tr><tr><td data-label=\"Data\">Historical load and generation records<\/td><td data-label=\"Role\">Model training and verification<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OFFICIAL<\/span><\/td><\/tr><tr><td data-label=\"Data\">Copernicus seasonal climate forecasts<\/td><td data-label=\"Role\">Outlook forcing<\/td><td data-label=\"Label\"><span class=\"nx-chip\">FORECAST<\/span><\/td><\/tr><tr><td data-label=\"Data\">Real-time metering and SCADA<\/td><td data-label=\"Role\">Nowcasting and correction<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G03\/stem\/forecasting\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G03\/stem\/forecasting\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-checks\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Forecasts are evaluated out of sample with proper scoring rules and reliability diagrams. Rolling-origin evaluation tests performance over time.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"ledger\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Out-of-sample verification<\/td><td data-label=\"How it is done\">Forecasts are scored with proper scoring rules on periods not used in training<\/td><\/tr><tr><td data-label=\"Check\">Reliability diagrams<\/td><td data-label=\"How it is done\">Stated probabilities of ramps and peaks are checked against observed frequencies<\/td><\/tr><tr><td data-label=\"Check\">Extreme-event performance<\/td><td data-label=\"How it is done\">Skill is reported separately for heat waves, cold spells and storms, not only on average days<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Structural breaks and regime changes undermine models trained on the past. Forecast skill typically declines rapidly with lead time.<\/p><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"infrastructure\" data-tone=\"alt\" data-variant=\"band\" aria-labelledby=\"nx-s-9\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/energy-security\/\"><span>Energy security<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/power-grids-and-interconnection\/\"><span>Power grids and interconnection<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/renewables-and-storage\/\"><span>Renewables and storage<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/heat-and-cooling\/\"><span>Heat and cooling<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/hydropower-and-water\/\"><span>Hydropower and water<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/grid-disruption-and-recovery\/\"><span>Grid disruption and recovery<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/energy-nexus\/topics\/radiological-and-nuclear-risk\/\"><span>Radiological and nuclear risk<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section\" data-hue=\"climate\" data-tone=\"alt\" aria-labelledby=\"nx-s-10\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/climate-hazards\/\">Climate and Hazards<\/a> stewards forecasting and time-series analysis for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/forecasting\/\">Canonical page: Forecasting and time-series analysis<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section\" data-hue=\"energy\" data-tone=\"alt\" aria-labelledby=\"nx-s-11\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/stem\/mathematics\/forecasting\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Canonical method page<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Forecasting and time-series analysis<\/span><span class=\"nx-dest-why\">Platform application links to the canonical method page.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/climate-hazards\/stem\/forecasting\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Forecasting for hazards<\/span><span class=\"nx-dest-why\">Climate and Hazards stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\" fill=\"none\" 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